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585б |
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249б |
| 001 Cosine Similarity.en.srt |
8.24Кб |
| 001 Cosine Similarity.mp4 |
29.32Мб |
| 001 DNN Gradient Descent.en.srt |
7.58Кб |
| 001 DNN Gradient Descent.mp4 |
36.56Мб |
| 001 DNN Weights Initializations.en.srt |
5.37Кб |
| 001 DNN Weights Initializations.mp4 |
33.85Мб |
| 001 Introduction to Course.en.srt |
1.08Кб |
| 001 Introduction to Course.mp4 |
7.84Мб |
| 001 Introduction To Dataset And Packages.en.srt |
5.34Кб |
| 001 Introduction To Dataset And Packages.mp4 |
26.55Мб |
| 001 Language Modeling Next Word Prediction.en.srt |
4.23Кб |
| 001 Language Modeling Next Word Prediction.mp4 |
14.45Мб |
| 001 Meta Characters.en.srt |
3.06Кб |
| 001 Meta Characters.mp4 |
9.99Мб |
| 001 Meta Characters Logical Or.en.srt |
8.45Кб |
| 001 Meta Characters Logical Or.mp4 |
40.01Мб |
| 001 Meta Characters Logical Or.mp4.vtx |
577.82Кб |
| 001 One Hot Vectors.en.srt |
4.89Кб |
| 001 One Hot Vectors.mp4 |
18.55Мб |
| 001 Pattern Objects.en.srt |
6.00Кб |
| 001 Pattern Objects.mp4 |
29.39Мб |
| 001 RNN Encoder Decoder.en.srt |
3.57Кб |
| 001 RNN Encoder Decoder.mp4 |
15.98Мб |
| 001 RNN In Pytorch Introduction.en.srt |
2.38Кб |
| 001 RNN In Pytorch Introduction.mp4 |
7.75Мб |
| 001 Spelling Correction Minimum Edit Distance Intro.en.srt |
9.32Кб |
| 001 Spelling Correction Minimum Edit Distance Intro.mp4 |
49.63Мб |
| 001 Static And Dynamic Embeddings.en.srt |
7.31Кб |
| 001 Static And Dynamic Embeddings.mp4 |
34.94Мб |
| 001 String Modification.en.srt |
4.39Кб |
| 001 String Modification.mp4 |
20.32Мб |
| 001 Tokenization In Detial Introduction.en.srt |
5.03Кб |
| 001 Tokenization In Detial Introduction.mp4 |
20.37Мб |
| 001 Vocabulary Implementation.en.srt |
10.07Кб |
| 001 Vocabulary Implementation.mp4 |
72.96Мб |
| 001 What Is A Language Model.en.srt |
6.66Кб |
| 001 What Is A Language Model.mp4 |
29.37Мб |
| 001 What Is A Word.en.srt |
5.59Кб |
| 001 What Is A Word.mp4 |
23.78Мб |
| 001 What Is Regular Expression.en.srt |
7.29Кб |
| 001 What Is Regular Expression.mp4 |
36.63Мб |
| 001 What Is RNN.en.srt |
4.89Кб |
| 001 What Is RNN.mp4 |
16.50Мб |
| 001 Why DNNs In Machine Learning.en.srt |
4.81Кб |
| 001 Why DNNs In Machine Learning.mp4 |
29.07Мб |
| 001 Why RNNs For NLP.en.srt |
16.43Кб |
| 001 Why RNNs For NLP.mp4 |
59.44Мб |
| 001 Word Co-occurrence Matrix.en.srt |
7.90Кб |
| 001 Word Co-occurrence Matrix.mp4 |
33.88Мб |
| 001 Word Normalization Case Folding.en.srt |
5.22Кб |
| 001 Word Normalization Case Folding.mp4 |
16.85Мб |
| 001 Yelp Reviews Classification Mini Project Introduction.en.srt |
7.14Кб |
| 001 Yelp Reviews Classification Mini Project Introduction.mp4 |
61.02Мб |
| 002 Cosine Similarity Geting Norms Of Vectors.en.srt |
9.10Кб |
| 002 Cosine Similarity Geting Norms Of Vectors.mp4 |
71.46Мб |
| 002 Definition Of Word Is Task Dependent.en.srt |
6.24Кб |
| 002 Definition Of Word Is Task Dependent.mp4 |
29.54Мб |
| 002 DNN Gradient Descent Implementation.en.srt |
7.28Кб |
| 002 DNN Gradient Descent Implementation.mp4 |
41.66Мб |
| 002 DNN Learning Rate.en.srt |
5.14Кб |
| 002 DNN Learning Rate.mp4 |
24.79Мб |
| 002 Implementing Language Class.en.srt |
4.36Кб |
| 002 Implementing Language Class.mp4 |
30.92Мб |
| 002 Introduction to Instructor.en.srt |
5.22Кб |
| 002 Introduction to Instructor.mp4 |
25.43Мб |
| 002 Language Model Formal Definition.en.srt |
7.46Кб |
| 002 Language Model Formal Definition.mp4 |
26.67Мб |
| 002 Language Modeling Next Word Prediction Vocabulary Index.en.srt |
4.29Кб |
| 002 Language Modeling Next Word Prediction Vocabulary Index.mp4 |
20.07Мб |
| 002 Meta Characters Beginning And End Patterns.en.srt |
6.05Кб |
| 002 Meta Characters Beginning And End Patterns.mp4 |
26.95Мб |
| 002 Meta Characters Bigbrackets Exercise.en.srt |
5.31Кб |
| 002 Meta Characters Bigbrackets Exercise.mp4 |
24.18Мб |
| 002 One Hot Vectors Implementaton.en.srt |
6.06Кб |
| 002 One Hot Vectors Implementaton.mp4 |
29.46Мб |
| 002 Pattern Objects Match Method Exersize.en.srt |
3.62Кб |
| 002 Pattern Objects Match Method Exersize.mp4 |
16.78Мб |
| 002 Pytorch Installation And Tensors Introduction.en.srt |
11.70Кб |
| 002 Pytorch Installation And Tensors Introduction.mp4 |
61.71Мб |
| 002 Representational Power And Data Utilization Capacity Of DNN.en.srt |
9.01Кб |
| 002 Representational Power And Data Utilization Capacity Of DNN.mp4 |
53.82Мб |
| 002 RNN Attention.en.srt |
4.12Кб |
| 002 RNN Attention.mp4 |
16.85Мб |
| 002 RNN In Pytorch Embedding Layer.en.srt |
8.48Кб |
| 002 RNN In Pytorch Embedding Layer.mp4 |
37.79Мб |
| 002 Self Supervision.en.srt |
5.43Кб |
| 002 Self Supervision.mp4 |
30.55Мб |
| 002 Spelling Correction Minimum Edit Distance Example.en.srt |
9.08Кб |
| 002 Spelling Correction Minimum Edit Distance Example.mp4 |
57.65Мб |
| 002 Tokenization Is Hard.en.srt |
6.76Кб |
| 002 Tokenization Is Hard.mp4 |
34.12Мб |
| 002 Understanding RNN With A Simple Example.en.srt |
9.26Кб |
| 002 Understanding RNN With A Simple Example.mp4 |
52.35Мб |
| 002 Vocabulary Implementation Helpers.en.srt |
5.07Кб |
| 002 Vocabulary Implementation Helpers.mp4 |
35.53Мб |
| 002 Why Regular Expression.en.srt |
8.35Кб |
| 002 Why Regular Expression.mp4 |
37.95Мб |
| 002 Word Co-occurrence Matrix vs Document-term Matrix.en.srt |
6.64Кб |
| 002 Word Co-occurrence Matrix vs Document-term Matrix.mp4 |
34.14Мб |
| 002 Word Normalization Lematization.en.srt |
7.69Кб |
| 002 Word Normalization Lematization.mp4 |
29.94Мб |
| 002 Word Tokenizer Using Split Method.en.srt |
5.07Кб |
| 002 Word Tokenizer Using Split Method.mp4 |
23.38Мб |
| 002 Yelp Reviews Classification Mini Project Vocabulary Initialization.en.srt |
7.55Кб |
| 002 Yelp Reviews Classification Mini Project Vocabulary Initialization.mp4 |
37.96Мб |
| 003 Automatic Diffrenciation Pytorch.en.srt |
9.96Кб |
| 003 Automatic Diffrenciation Pytorch.mp4 |
34.07Мб |
| 003 Cosine Similarity Normalizing Vectors.en.srt |
6.53Кб |
| 003 Cosine Similarity Normalizing Vectors.mp4 |
45.05Мб |
| 003 DNN Batch Normalization.en.srt |
2.20Кб |
| 003 DNN Batch Normalization.mp4 |
11.92Мб |
| 003 DNN Gradient Descent Stochastic Batch Minibatch.en.srt |
8.64Кб |
| 003 DNN Gradient Descent Stochastic Batch Minibatch.mp4 |
49.43Мб |
| 003 ELIZA Chatbot.en.srt |
5.84Кб |
| 003 ELIZA Chatbot.mp4 |
31.16Мб |
| 003 Introduction to Co-Instructor.en.srt |
1.84Кб |
| 003 Introduction to Co-Instructor.mp4 |
13.58Мб |
| 003 Language Model Curse Of Dimensionality.en.srt |
5.14Кб |
| 003 Language Model Curse Of Dimensionality.mp4 |
19.10Мб |
| 003 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4 |
19.53Мб |
| 003 Meta Characters Bigbrackets Exercise Solution.en.srt |
4.97Кб |
| 003 Meta Characters Bigbrackets Exercise Solution.mp4 |
21.21Мб |
| 003 Meta Characters Paranthesis.en.srt |
7.80Кб |
| 003 Meta Characters Paranthesis.mp4 |
40.16Мб |
| 003 One Hot Vectors Limitations.en.srt |
5.43Кб |
| 003 One Hot Vectors Limitations.mp4 |
21.94Мб |
| 003 Pattern Objects Match Method Exersize Solution.en.srt |
8.69Кб |
| 003 Pattern Objects Match Method Exersize Solution.mp4 |
40.04Мб |
| 003 Perceptron.en.srt |
6.16Кб |
| 003 Perceptron.mp4 |
29.80Мб |
| 003 RNN Applications Human Activity Recognition.en.srt |
3.08Кб |
| 003 RNN Applications Human Activity Recognition.mp4 |
15.12Мб |
| 003 RNN In Pytorch Nn Rnn.en.srt |
9.86Кб |
| 003 RNN In Pytorch Nn Rnn.mp4 |
42.75Мб |
| 003 Spelling Correction Minimum Edit Distance Table Filling.en.srt |
10.42Кб |
| 003 Spelling Correction Minimum Edit Distance Table Filling.mp4 |
60.07Мб |
| 003 Sub Method Exercise.en.srt |
4.99Кб |
| 003 Sub Method Exercise.mp4 |
24.66Мб |
| 003 Testing Language Class And Implementing Normalization.en.srt |
9.92Кб |
| 003 Testing Language Class And Implementing Normalization.mp4 |
56.20Мб |
| 003 Tokenization Byte Pair Encoding.en.srt |
7.53Кб |
| 003 Tokenization Byte Pair Encoding.mp4 |
33.62Мб |
| 003 Vocabulary And Corpus.en.srt |
6.89Кб |
| 003 Vocabulary And Corpus.mp4 |
30.21Мб |
| 003 Vocabulary Implementation From File.en.srt |
6.68Кб |
| 003 Vocabulary Implementation From File.mp4 |
41.58Мб |
| 003 Word2Vec Algorithm Abstract.en.srt |
6.32Кб |
| 003 Word2Vec Algorithm Abstract.mp4 |
33.34Мб |
| 003 Word Co-occurrence Matrix Implementation Preparing Data.en.srt |
5.47Кб |
| 003 Word Co-occurrence Matrix Implementation Preparing Data.mp4 |
22.57Мб |
| 003 Word Normalization Stemming.en.srt |
2.84Кб |
| 003 Word Normalization Stemming.mp4 |
14.78Мб |
| 003 Yelp Reviews Classification Mini Project Adding Tokens To Vocabulary.en.srt |
4.97Кб |
| 003 Yelp Reviews Classification Mini Project Adding Tokens To Vocabulary.mp4 |
27.68Мб |
| 004 Cosine Similarity With More Than One Vectors.en.srt |
11.32Кб |
| 004 Cosine Similarity With More Than One Vectors.mp4 |
72.47Мб |
| 004 Course Introduction.en.srt |
14.61Кб |
| 004 Course Introduction.mp4 |
73.82Мб |
| 004 DNN Batch Normalization Implementation.en.srt |
3.34Кб |
| 004 DNN Batch Normalization Implementation.mp4 |
21.41Мб |
| 004 DNN Gradient Descent Summary.en.srt |
3.13Кб |
| 004 DNN Gradient Descent Summary.mp4 |
38.35Мб |
| 004 Language Modeling Next Word Prediction Rnn Architecture.en.srt |
4.85Кб |
| 004 Language Modeling Next Word Prediction Rnn Architecture.mp4 |
19.05Мб |
| 004 Language Model Markov Assumption And N-Grams.en.srt |
7.07Кб |
| 004 Language Model Markov Assumption And N-Grams.mp4 |
37.94Мб |
| 004 Meta Characters Bigbrackets Exercise 2.en.srt |
2.44Кб |
| 004 Meta Characters Bigbrackets Exercise 2.mp4 |
10.73Мб |
| 004 One Hot Vectors Uses As Target Labeling.en.srt |
4.56Кб |
| 004 One Hot Vectors Uses As Target Labeling.mp4 |
18.12Мб |
| 004 Pattern Objects Match Method Vs Search Method.en.srt |
6.80Кб |
| 004 Pattern Objects Match Method Vs Search Method.mp4 |
34.93Мб |
| 004 Perceptron Implementation.en.srt |
7.68Кб |
| 004 Perceptron Implementation.mp4 |
33.23Мб |
| 004 Python Regular Expression Package.en.srt |
5.17Кб |
| 004 Python Regular Expression Package.mp4 |
21.36Мб |
| 004 Reading Datafile.en.srt |
5.28Кб |
| 004 Reading Datafile.mp4 |
33.86Мб |
| 004 RNN Applications Image Captioning.en.srt |
3.44Кб |
| 004 RNN Applications Image Captioning.mp4 |
27.09Мб |
| 004 RNN In Pytorch Output Shapes.en.srt |
4.77Кб |
| 004 RNN In Pytorch Output Shapes.mp4 |
23.83Мб |
| 004 Spelling Correction Minimum Edit Distance Dynamic Programming.en.srt |
7.22Кб |
| 004 Spelling Correction Minimum Edit Distance Dynamic Programming.mp4 |
35.89Мб |
| 004 Sub Method Exercise Solution.en.srt |
5.21Кб |
| 004 Sub Method Exercise Solution.mp4 |
26.83Мб |
| 004 Tokenization Byte Pair Encoding Example.en.srt |
10.36Кб |
| 004 Tokenization Byte Pair Encoding Example.mp4 |
46.95Мб |
| 004 Tokens.en.srt |
3.99Кб |
| 004 Tokens.mp4 |
16.23Мб |
| 004 Vectorizer.en.srt |
5.45Кб |
| 004 Vectorizer.mp4 |
26.33Мб |
| 004 Word2Vec Why Negative Sampling.en.srt |
4.19Кб |
| 004 Word2Vec Why Negative Sampling.mp4 |
16.41Мб |
| 004 Word Co-occurrence Matrix Implementation Preparing Data 2.en.srt |
3.68Кб |
| 004 Word Co-occurrence Matrix Implementation Preparing Data 2.mp4 |
24.23Мб |
| 004 Word Normalization Sentence Segmentation.en.srt |
6.79Кб |
| 004 Word Normalization Sentence Segmentation.mp4 |
38.80Мб |
| 004 Yelp Reviews Classification Mini Project Look Up Functions In Vocabulary.en.srt |
6.23Кб |
| 004 Yelp Reviews Classification Mini Project Look Up Functions In Vocabulary.mp4 |
36.77Мб |
| 005 Cosine Similarity Getting Most Similar Words In The Vocabulary.en.srt |
9.25Кб |
| 005 Cosine Similarity Getting Most Similar Words In The Vocabulary.mp4 |
68.97Мб |
| 005 DNN Architecture.en.srt |
5.00Кб |
| 005 DNN Architecture.mp4 |
25.67Мб |
| 005 DNN Implemenation Gradient Step.en.srt |
4.33Кб |
| 005 DNN Implemenation Gradient Step.mp4 |
27.51Мб |
| 005 DNN Optimizations.en.srt |
5.40Кб |
| 005 DNN Optimizations.mp4 |
52.47Мб |
| 005 Language Model Implementation Setup.en.srt |
4.51Кб |
| 005 Language Model Implementation Setup.mp4 |
19.31Мб |
| 005 Language Modeling Next Word Prediction Python 1.en.srt |
7.58Кб |
| 005 Language Modeling Next Word Prediction Python 1.mp4 |
36.35Мб |
| 005 Meta Characters Bigbrackets Exercise 2 Solution.en.srt |
5.64Кб |
| 005 Meta Characters Bigbrackets Exercise 2 Solution.mp4 |
24.90Мб |
| 005 Pattern Objects Finditer Method.en.srt |
4.02Кб |
| 005 Pattern Objects Finditer Method.mp4 |
25.90Мб |
| 005 Reading Building Vocabulary.en.srt |
8.04Кб |
| 005 Reading Building Vocabulary.mp4 |
51.27Мб |
| 005 Request for Your Honest Review.en.srt |
2.50Кб |
| 005 Request for Your Honest Review.mp4 |
28.87Мб |
| 005 RNN Applications Machine Translation.en.srt |
3.74Кб |
| 005 RNN Applications Machine Translation.mp4 |
16.63Мб |
| 005 RNN In Pytorch Gatedunits.en.srt |
4.19Кб |
| 005 RNN In Pytorch Gatedunits.mp4 |
18.00Мб |
| 005 RNN Setup.en.srt |
7.42Кб |
| 005 RNN Setup.mp4 |
49.04Мб |
| 005 Spelling Correction Minimum Edit Distance Psudocode.en.srt |
4.40Кб |
| 005 Spelling Correction Minimum Edit Distance Psudocode.mp4 |
25.74Мб |
| 005 Term Frequency For Document Representations.en.srt |
4.18Кб |
| 005 Term Frequency For Document Representations.mp4 |
17.68Мб |
| 005 Tokenization Byte Pair Encoding On Test Data.en.srt |
8.13Кб |
| 005 Tokenization Byte Pair Encoding On Test Data.mp4 |
49.72Мб |
| 005 Tokenization In Spacy.en.srt |
10.03Кб |
| 005 Tokenization In Spacy.mp4 |
40.34Мб |
| 005 Word2Vec What Is Skip Gram.en.srt |
5.83Кб |
| 005 Word2Vec What Is Skip Gram.mp4 |
28.91Мб |
| 005 Word Co-occurrence Matrix Implementation Preparing Data Getting Vocabulary.en.srt |
4.98Кб |
| 005 Word Co-occurrence Matrix Implementation Preparing Data Getting Vocabulary.mp4 |
27.05Мб |
| 005 Yelp Reviews Classification Mini Project Building Vocabulary From Data.en.srt |
10.93Кб |
| 005 Yelp Reviews Classification Mini Project Building Vocabulary From Data.mp4 |
55.37Мб |
| 006 Cosine Similarity Getting Most Similar Words In The Vocabulary Fixingbug Of D.en.srt |
7.46Кб |
| 006 Cosine Similarity Getting Most Similar Words In The Vocabulary Fixingbug Of D.mp4 |
54.69Мб |
| 006 DNN Dropout.en.srt |
4.94Кб |
| 006 DNN Dropout.mp4 |
21.24Мб |
| 006 DNN Forwardstep Implementation.en.srt |
9.58Кб |
| 006 DNN Forwardstep Implementation.mp4 |
50.80Мб |
| 006 DNN Implemenation Stochastic Gradient Descent.mp4 |
105.58Мб |
| 006 EncoderRNN.en.srt |
6.11Кб |
| 006 EncoderRNN.mp4 |
39.16Мб |
| 006 Language Model Implementation Ngrams Function.en.srt |
8.65Кб |
| 006 Language Model Implementation Ngrams Function.mp4 |
46.07Мб |
| 006 Language Modeling Next Word Prediction Python 2.en.srt |
8.71Кб |
| 006 Language Modeling Next Word Prediction Python 2.mp4 |
49.29Мб |
| 006 Links for the Course's Materials and Codes.html |
1.32Кб |
| 006 Meta Characters Cap.en.srt |
3.95Кб |
| 006 Meta Characters Cap.mp4 |
15.28Мб |
| 006 Pattern Objects Finditer Method Exersize Solution.en.srt |
7.59Кб |
| 006 Pattern Objects Finditer Method Exersize Solution.mp4 |
53.66Мб |
| 006 RNN Applications Speech Recognition Stock Price Prediction.en.srt |
4.86Кб |
| 006 RNN Applications Speech Recognition Stock Price Prediction.mp4 |
36.13Мб |
| 006 RNN In Pytorch Gatedunits GRU LSTM.en.srt |
4.16Кб |
| 006 RNN In Pytorch Gatedunits GRU LSTM.mp4 |
28.99Мб |
| 006 RNN Setup 1.en.srt |
25.55Кб |
| 006 RNN Setup 1.mp4 |
169.83Мб |
| 006 Spelling Correction Minimum Edit Distance Implementation.en.srt |
7.15Кб |
| 006 Spelling Correction Minimum Edit Distance Implementation.mp4 |
44.38Мб |
| 006 Term Frequency For Document Representations Implementations.en.srt |
5.81Кб |
| 006 Term Frequency For Document Representations Implementations.mp4 |
31.42Мб |
| 006 Tokenization Byte Pair Encoding Implementation Getpaircounts.en.srt |
8.22Кб |
| 006 Tokenization Byte Pair Encoding Implementation Getpaircounts.mp4 |
38.36Мб |
| 006 Word2Vec How To Define Probability Law.en.srt |
4.78Кб |
| 006 Word2Vec How To Define Probability Law.mp4 |
26.15Мб |
| 006 Word Co-occurrence Matrix Implementation Final Function.en.srt |
11.46Кб |
| 006 Word Co-occurrence Matrix Implementation Final Function.mp4 |
79.86Мб |
| 006 Yelp Reviews Classification Mini Project One Hot Encoding.en.srt |
8.06Кб |
| 006 Yelp Reviews Classification Mini Project One Hot Encoding.mp4 |
25.86Мб |
| 007 Cosine Similarity Word2Vec Embeddings.en.srt |
9.86Кб |
| 007 Cosine Similarity Word2Vec Embeddings.mp4 |
58.45Мб |
| 007 DecoderRNN.en.srt |
5.33Кб |
| 007 DecoderRNN.mp4 |
44.76Мб |
| 007 DNN Dropout In Pytorch.en.srt |
2.21Кб |
| 007 DNN Dropout In Pytorch.mp4 |
16.41Мб |
| 007 DNN Implemenation Batch Gradient Descent.en.srt |
7.91Кб |
| 007 DNN Implemenation Batch Gradient Descent.mp4 |
55.74Мб |
| 007 DNN Why Activation Function Is Required.en.srt |
5.38Кб |
| 007 DNN Why Activation Function Is Required.mp4 |
32.03Мб |
| 007 Language Model Implementation Update Counts Function.en.srt |
5.95Кб |
| 007 Language Model Implementation Update Counts Function.mp4 |
36.93Мб |
| 007 Language Modeling Next Word Prediction Python 3.en.srt |
7.71Кб |
| 007 Language Modeling Next Word Prediction Python 3.mp4 |
53.98Мб |
| 007 Meta Characters Cap Exercise 3.en.srt |
2.36Кб |
| 007 Meta Characters Cap Exercise 3.mp4 |
16.16Мб |
| 007 RNN In Pytorch Bidirectional RNN.en.srt |
3.52Кб |
| 007 RNN In Pytorch Bidirectional RNN.mp4 |
13.60Мб |
| 007 RNN Models.en.srt |
8.87Кб |
| 007 RNN Models.mp4 |
45.50Мб |
| 007 Spelling Correction Minimum Edit Distance Implementation Bugfixing.en.srt |
3.14Кб |
| 007 Spelling Correction Minimum Edit Distance Implementation Bugfixing.mp4 |
21.05Мб |
| 007 Term Frequency For Word Representations.en.srt |
6.44Кб |
| 007 Term Frequency For Word Representations.mp4 |
27.76Мб |
| 007 Tokenization Byte Pair Encoding Implementation Mergeincorpus.en.srt |
8.18Кб |
| 007 Tokenization Byte Pair Encoding Implementation Mergeincorpus.mp4 |
43.58Мб |
| 007 Word2Vec Sigmoid.en.srt |
6.03Кб |
| 007 Word2Vec Sigmoid.mp4 |
30.89Мб |
| 007 Word Co-occurrence Matrix Implementation Handling Memory Issues On Large Corp.en.srt |
10.26Кб |
| 007 Word Co-occurrence Matrix Implementation Handling Memory Issues On Large Corp.mp4 |
76.33Мб |
| 007 Yelp Reviews Classification Mini Project One Hot Encoding Implementation.en.srt |
11.03Кб |
| 007 Yelp Reviews Classification Mini Project One Hot Encoding Implementation.mp4 |
58.05Мб |
| 008 DecoderRNN Forward Step.en.srt |
12.74Кб |
| 008 DecoderRNN Forward Step.mp4 |
95.12Мб |
| 008 DNN Early Stopping.en.srt |
4.36Кб |
| 008 DNN Early Stopping.mp4 |
17.51Мб |
| 008 DNN Implemenation Minibatch Gradient Descent.en.srt |
10.70Кб |
| 008 DNN Implemenation Minibatch Gradient Descent.mp4 |
84.29Мб |
| 008 DNN Properties Of Activation Function.en.srt |
7.16Кб |
| 008 DNN Properties Of Activation Function.mp4 |
47.31Мб |
| 008 Language Model Implementation Probability Model Funciton.en.srt |
5.82Кб |
| 008 Language Model Implementation Probability Model Funciton.mp4 |
40.92Мб |
| 008 Language Modeling Next Word Prediction Python 4.en.srt |
5.52Кб |
| 008 Language Modeling Next Word Prediction Python 4.mp4 |
32.55Мб |
| 008 Meta Characters Cap Exercise 3 Solution.en.srt |
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| 008 Meta Characters Cap Exercise 3 Solution.mp4 |
35.59Мб |
| 008 RNN In Pytorch Bidirectional RNN Output Shapes.en.srt |
4.84Кб |
| 008 RNN In Pytorch Bidirectional RNN Output Shapes.mp4 |
31.26Мб |
| 008 Spelling Correction Implementation.en.srt |
9.31Кб |
| 008 Spelling Correction Implementation.mp4 |
41.69Мб |
| 008 TFIDF For Document Representations.en.srt |
5.69Кб |
| 008 TFIDF For Document Representations.mp4 |
26.02Мб |
| 008 Tokenization Byte Pair Encoding Implementation BFE Training.en.srt |
6.14Кб |
| 008 Tokenization Byte Pair Encoding Implementation BFE Training.mp4 |
35.08Мб |
| 008 Word2Vec Formalizing Loss Function.en.srt |
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| 008 Word2Vec Formalizing Loss Function.mp4 |
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| 008 Word Co-occurrence Matrix Sparsity.en.srt |
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| 008 Word Co-occurrence Matrix Sparsity.mp4 |
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| 008 Words Analogies.en.srt |
5.59Кб |
| 008 Words Analogies.mp4 |
23.32Мб |
| 008 Yelp Reviews Classification Mini Project Encoding Documents.en.srt |
7.85Кб |
| 008 Yelp Reviews Classification Mini Project Encoding Documents.mp4 |
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| 009 Backslash.en.srt |
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| 009 Backslash.mp4 |
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| 009 DecoderRNN Helper Functions.en.srt |
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| 009 DecoderRNN Helper Functions.mp4 |
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| 009 DNN Activation Functions In Pytorch.en.srt |
4.14Кб |
| 009 DNN Activation Functions In Pytorch.mp4 |
23.30Мб |
| 009 DNN Hyperparameters.en.srt |
4.41Кб |
| 009 DNN Hyperparameters.mp4 |
21.20Мб |
| 009 DNN Implemenation In Pytorch.en.srt |
15.54Кб |
| 009 DNN Implemenation In Pytorch.mp4 |
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| 009 Language Model Implementation Reading Corpus.en.srt |
13.50Кб |
| 009 Language Model Implementation Reading Corpus.mp4 |
76.77Мб |
| 009 Language Modeling Next Word Prediction Python 5.en.srt |
4.65Кб |
| 009 Language Modeling Next Word Prediction Python 5.mp4 |
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| 009 RNN In Pytorch Bidirectional RNN Output Shapes Seperation.en.srt |
4.66Кб |
| 009 RNN In Pytorch Bidirectional RNN Output Shapes Seperation.mp4 |
27.65Мб |
| 009 TFIDF For Document Representations Implementation Reading Corpus.en.srt |
4.30Кб |
| 009 TFIDF For Document Representations Implementation Reading Corpus.mp4 |
27.02Мб |
| 009 Tokenization Byte Pair Encoding Implementation BFE Encoding.en.srt |
6.25Кб |
| 009 Tokenization Byte Pair Encoding Implementation BFE Encoding.mp4 |
31.99Мб |
| 009 Word2Vec Loss Function.en.srt |
4.14Кб |
| 009 Word2Vec Loss Function.mp4 |
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| 009 Word Co-occurrence Matrix Positive Point Wise Mutual Information PPMI.en.srt |
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| 009 Word Co-occurrence Matrix Positive Point Wise Mutual Information PPMI.mp4 |
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| 009 Words Analogies Implemenation 1.en.srt |
5.86Кб |
| 009 Words Analogies Implemenation 1.mp4 |
40.15Мб |
| 009 Yelp Reviews Classification Mini Project Encoding Documents Implementation.en.srt |
7.47Кб |
| 009 Yelp Reviews Classification Mini Project Encoding Documents Implementation.mp4 |
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| 010 Backslash Continued.en.srt |
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| 010 Backslash Continued.mp4 |
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| 010 DNN Pytorch CIFAR10 Example.en.srt |
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| 010 DNN Pytorch CIFAR10 Example.mp4 |
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| 010 DNN What Is Loss Function.en.srt |
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| 010 DNN What Is Loss Function.mp4 |
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| 010 Language Model Implementation Sampling Text.en.srt |
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| 010 Language Model Implementation Sampling Text.mp4 |
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| 010 Language Modeling Next Word Prediction Python 6.en.srt |
15.24Кб |
| 010 Language Modeling Next Word Prediction Python 6.mp4 |
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| 010 PCA For Dense Embeddings.en.srt |
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| 010 PCA For Dense Embeddings.mp4 |
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| 010 RNN In Pytorch Example.en.srt |
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| 010 RNN In Pytorch Example.mp4 |
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| 010 TFIDF For Document Representations Implementation Computing Document Frequenc.en.srt |
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| 010 TFIDF For Document Representations Implementation Computing Document Frequenc.mp4 |
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| 010 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair.en.srt |
9.51Кб |
| 010 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair.mp4 |
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| 010 Training Module.en.srt |
10.63Кб |
| 010 Training Module.mp4 |
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| 010 Word2Vec Gradient Descent Step.en.srt |
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| 010 Word2Vec Gradient Descent Step.mp4 |
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| 010 Words Analogies Implemenation 2.en.srt |
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| 010 Words Analogies Implemenation 2.mp4 |
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| 010 Yelp Reviews Classification Mini Project Train Test Splits.en.srt |
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| 010 Yelp Reviews Classification Mini Project Train Test Splits.mp4 |
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| 011 Backslash Continued 01.en.srt |
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| 011 Backslash Continued 01.mp4 |
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| 011 DNN Loss Function In Pytorch.en.srt |
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| 011 DNN Loss Function In Pytorch.mp4 |
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| 011 Latent Semantic Analysis.en.srt |
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| 011 Latent Semantic Analysis.mp4 |
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| 011 Stochastic Gradient Descent.en.srt |
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| 011 Stochastic Gradient Descent.mp4 |
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| 011 TFIDF For Document Representations Implementation Computing TFIDF.en.srt |
7.85Кб |
| 011 TFIDF For Document Representations Implementation Computing TFIDF.mp4 |
53.71Мб |
| 011 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair 1.en.srt |
8.50Кб |
| 011 Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair 1.mp4 |
54.73Мб |
| 011 Word2Vec Implemenation Preparing Data.en.srt |
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| 011 Word2Vec Implemenation Preparing Data.mp4 |
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| 011 Words Visualizations.en.srt |
3.25Кб |
| 011 Words Visualizations.mp4 |
17.74Мб |
| 011 Yelp Reviews Classification Mini Project Featurecomputation.en.srt |
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| 011 Yelp Reviews Classification Mini Project Featurecomputation.mp4 |
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| 012 Backslash Squared Brackets Exercise.en.srt |
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| 012 Backslash Squared Brackets Exercise.mp4 |
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| 012 Latent Semantic Analysis Implementation.en.srt |
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| 012 Latent Semantic Analysis Implementation.mp4 |
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| 012 NMT Training.en.srt |
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| 012 NMT Training.mp4 |
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| 012 Topic Modeling With TFIDF 1.en.srt |
4.33Кб |
| 012 Topic Modeling With TFIDF 1.mp4 |
20.87Мб |
| 012 Word2Vec Implemenation Gradient Step.en.srt |
7.56Кб |
| 012 Word2Vec Implemenation Gradient Step.mp4 |
40.66Мб |
| 012 Words Visualizations Implementaion.en.srt |
4.85Кб |
| 012 Words Visualizations Implementaion.mp4 |
24.29Мб |
| 012 Yelp Reviews Classification Mini Project Classification.en.srt |
11.54Кб |
| 012 Yelp Reviews Classification Mini Project Classification.mp4 |
69.54Мб |
| 013 Backslash Squared Brackets Exercise Solution.en.srt |
5.32Кб |
| 013 Backslash Squared Brackets Exercise Solution.mp4 |
21.24Мб |
| 013 NMT Evaluation.en.srt |
9.05Кб |
| 013 NMT Evaluation.mp4 |
88.48Мб |
| 013 Topic Modeling With TFIDF 3.en.srt |
4.32Кб |
| 013 Topic Modeling With TFIDF 3.mp4 |
26.67Мб |
| 013 Word2Vec Implemenation Driver Function.en.srt |
14.90Кб |
| 013 Word2Vec Implemenation Driver Function.mp4 |
95.31Мб |
| 013 Words Visualizations Implementaion 2.en.srt |
6.59Кб |
| 013 Words Visualizations Implementaion 2.mp4 |
44.89Мб |
| 014 Backslash Squared Brackets Exercise Another Solution.en.srt |
5.41Кб |
| 014 Backslash Squared Brackets Exercise Another Solution.mp4 |
30.36Мб |
| 014 Topic Modeling With TFIDF 4.en.srt |
4.40Кб |
| 014 Topic Modeling With TFIDF 4.mp4 |
31.10Мб |
| 015 Backslash Exercise.en.srt |
2.03Кб |
| 015 Backslash Exercise.mp4 |
9.89Мб |
| 015 Topic Modeling With TFIDF 5.en.srt |
5.07Кб |
| 015 Topic Modeling With TFIDF 5.mp4 |
31.70Мб |
| 016 Backslash Exercise Solution And Special Sequences Exercise.en.srt |
6.54Кб |
| 016 Backslash Exercise Solution And Special Sequences Exercise.mp4 |
28.65Мб |
| 016 Topic Modeling With Gensim.en.srt |
17.01Кб |
| 016 Topic Modeling With Gensim.mp4 |
118.29Мб |
| 017 Solution And Special Sequences Exercise Solution.en.srt |
6.03Кб |
| 017 Solution And Special Sequences Exercise Solution.mp4 |
35.83Мб |
| 018 Meta Character Esterics.en.srt |
6.94Кб |
| 018 Meta Character Esterics.mp4 |
28.91Мб |
| 019 Meta Character Esterics Exercise.en.srt |
6.93Кб |
| 019 Meta Character Esterics Exercise.mp4 |
44.42Мб |
| 020 Meta Character Esterics Exercise Solution.en.srt |
6.47Кб |
| 020 Meta Character Esterics Exercise Solution.mp4 |
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| 021 Meta Character Esterics Homework.en.srt |
5.87Кб |
| 021 Meta Character Esterics Homework.mp4 |
29.48Мб |
| 022 Meta Character Esterics Greedymatching.en.srt |
6.96Кб |
| 022 Meta Character Esterics Greedymatching.mp4 |
48.55Мб |
| 023 Meta Character Plus And Questionmark.en.srt |
7.26Кб |
| 023 Meta Character Plus And Questionmark.mp4 |
36.64Мб |
| 024 Meta Character Curly Brackets Exercise.en.srt |
4.03Кб |
| 024 Meta Character Curly Brackets Exercise.mp4 |
18.77Мб |
| 025 Meta Character Curly Brackets Exercise Solution.en.srt |
7.26Кб |
| 025 Meta Character Curly Brackets Exercise Solution.mp4 |
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