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| [CourseClub.Me].url |
48б |
| [DesireCourse.Net].url |
51б |
| [FreeCourseWorld.Com].url |
54б |
| 1. CNN Section Overview.mp4 |
7.52Мб |
| 1. CNN Section Overview.srt |
2.47Кб |
| 1. Course Overview.mp4 |
26.16Мб |
| 1. Course Overview.srt |
7.49Кб |
| 1. GANs Overview.mp4 |
53.86Мб |
| 1. GANs Overview.srt |
11.75Кб |
| 1. Introduction to ANN Section.mp4 |
9.70Мб |
| 1. Introduction to ANN Section.srt |
3.33Кб |
| 1. Introduction to Autoencoders.mp4 |
20.88Мб |
| 1. Introduction to Deployment.mp4 |
23.43Мб |
| 1. Introduction to Deployment.srt |
5.41Кб |
| 1. Introduction to NLP Section.mp4 |
35.12Мб |
| 1. Introduction to NLP Section.srt |
8.82Кб |
| 1. Introduction to NumPy.mp4 |
11.38Мб |
| 1. Introduction to NumPy.srt |
3.49Кб |
| 1. Introduction to Pandas.mp4 |
25.50Мб |
| 1. Introduction to Pandas.srt |
6.13Кб |
| 1. Introduction to Python Visualization.mp4 |
6.82Мб |
| 1. Introduction to Python Visualization.srt |
1.96Кб |
| 1. PLEASE WATCH COURSE OVERVIEW LECTURE.html |
165б |
| 1. RNN Section Overview.mp4 |
10.91Мб |
| 1. RNN Section Overview.srt |
3.97Кб |
| 1. What is Machine Learning.mp4 |
28.20Мб |
| 1. What is Machine Learning.srt |
8.13Кб |
| 10. CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4 |
45.34Мб |
| 10. CNN on CIFAR-10 - Part Two - Evaluating the Model.srt |
10.48Кб |
| 10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4 |
84.64Мб |
| 10. Keras Syntax Basics - Part Two - Creating and Training the Model.srt |
19.91Кб |
| 10. Pandas Exercises - Solutions.mp4 |
51.46Мб |
| 10. Pandas Exercises - Solutions.srt |
10.00Кб |
| 10. RNN on a Time Series - Part One.mp4 |
45.01Мб |
| 10. RNN on a Time Series - Part One.srt |
13.53Кб |
| 11.1 Direct Link to Download cell_images.zip (Note You can't preview a zip file) Just download it..html |
127б |
| 11. Downloading Data Set for Real Image Lectures.mp4 |
28.23Мб |
| 11. Downloading Data Set for Real Image Lectures.srt |
8.56Кб |
| 11. Keras Syntax Basics - Part Three - Model Evaluation.mp4 |
64.96Мб |
| 11. Keras Syntax Basics - Part Three - Model Evaluation.srt |
16.73Кб |
| 11. RNN on a Time Series - Part Two.mp4 |
131.02Мб |
| 11. RNN on a Time Series - Part Two.srt |
31.40Кб |
| 12. CNN on Real Image Files - Part One - Reading in the Data.mp4 |
80.69Мб |
| 12. CNN on Real Image Files - Part One - Reading in the Data.srt |
19.88Кб |
| 12. Keras Regression Code Along - Exploratory Data Analysis.mp4 |
137.06Мб |
| 12. Keras Regression Code Along - Exploratory Data Analysis.srt |
25.83Кб |
| 12. RNN Exercise.mp4 |
29.92Мб |
| 12. RNN Exercise.srt |
6.75Кб |
| 13. CNN on Real Image Files - Part Two - Data Processing.mp4 |
87.92Мб |
| 13. CNN on Real Image Files - Part Two - Data Processing.srt |
22.93Кб |
| 13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4 |
76.18Мб |
| 13. Keras Regression Code Along - Exploratory Data Analysis - Continued.srt |
18.39Кб |
| 13. RNN Exercise - Solutions.mp4 |
148.08Мб |
| 13. RNN Exercise - Solutions.srt |
32.20Кб |
| 14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 |
149.33Мб |
| 14. Bonus - Multivariate Time Series - RNN and LSTMs.srt |
25.92Кб |
| 14. CNN on Real Image Files - Part Three - Creating the Model.mp4 |
90.63Мб |
| 14. CNN on Real Image Files - Part Three - Creating the Model.srt |
19.60Кб |
| 14. Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4 |
47.01Мб |
| 14. Keras Regression Code Along - Data Preprocessing and Creating a Model.srt |
11.78Кб |
| 15. CNN on Real Image Files - Part Four - Evaluating the Model.mp4 |
47.11Мб |
| 15. CNN on Real Image Files - Part Four - Evaluating the Model.srt |
11.99Кб |
| 15. Keras Regression Code Along - Model Evaluation and Predictions.mp4 |
68.91Мб |
| 15. Keras Regression Code Along - Model Evaluation and Predictions.srt |
15.86Кб |
| 16. CNN Exercise Overview.mp4 |
17.88Мб |
| 16. CNN Exercise Overview.srt |
3.77Кб |
| 16. Keras Classification Code Along - EDA and Preprocessing.mp4 |
56.15Мб |
| 16. Keras Classification Code Along - EDA and Preprocessing.srt |
11.16Кб |
| 17. CNN Exercise Solutions.mp4 |
56.02Мб |
| 17. CNN Exercise Solutions.srt |
11.60Кб |
| 17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 |
111.25Мб |
| 17. Keras Classification - Dealing with Overfitting and Evaluation.srt |
23.92Кб |
| 18. TensorFlow 2.0 Keras Project Options Overview.mp4 |
7.86Мб |
| 18. TensorFlow 2.0 Keras Project Options Overview.srt |
2.50Кб |
| 19. TensorFlow 2.0 Keras Project Notebook Overview.mp4 |
80.56Мб |
| 19. TensorFlow 2.0 Keras Project Notebook Overview.srt |
12.38Кб |
| 2.1 FINAL_TF2_FILES.zip.zip |
99.27Мб |
| 2.2 requirements.txt.txt |
138б |
| 2. Autoencoder Basics.mp4 |
42.64Мб |
| 2. Autoencoder Basics.srt |
11.36Кб |
| 2. Course Setup and Installation.mp4 |
152.41Мб |
| 2. Course Setup and Installation.srt |
34.57Кб |
| 2. Creating a GAN - Part One- The Data.mp4 |
19.12Мб |
| 2. Creating a GAN - Part One- The Data.srt |
6.50Кб |
| 2. Creating the Model.mp4 |
87.07Мб |
| 2. Creating the Model.srt |
22.15Кб |
| 2. Image Filters and Kernels.mp4 |
72.34Мб |
| 2. Image Filters and Kernels.srt |
17.94Кб |
| 2. Matplotlib Basics.mp4 |
41.03Мб |
| 2. Matplotlib Basics.srt |
13.40Кб |
| 2. NLP - Part One - The Data.mp4 |
22.29Мб |
| 2. NLP - Part One - The Data.srt |
6.85Кб |
| 2. NumPy Arrays.mp4 |
88.58Мб |
| 2. NumPy Arrays.srt |
27.40Кб |
| 2. Pandas Series.mp4 |
37.88Мб |
| 2. Pandas Series.srt |
12.49Кб |
| 2. Perceptron Model.mp4 |
47.80Мб |
| 2. Perceptron Model.srt |
14.59Кб |
| 2. RNN Basic Theory.mp4 |
29.97Мб |
| 2. Supervised Learning Overview.mp4 |
40.03Мб |
| 2. Supervised Learning Overview.srt |
12.25Кб |
| 20. Keras Project Solutions - Exploratory Data Analysis.mp4 |
143.63Мб |
| 20. Keras Project Solutions - Exploratory Data Analysis.srt |
27.86Кб |
| 21. Keras Project Solutions - Dealing with Missing Data.mp4 |
96.78Мб |
| 21. Keras Project Solutions - Dealing with Missing Data.srt |
20.41Кб |
| 22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 |
85.40Мб |
| 22. Keras Project Solutions - Dealing with Missing Data - Part Two.srt |
17.10Кб |
| 23. Keras Project Solutions - Categorical Data.mp4 |
125.03Мб |
| 23. Keras Project Solutions - Categorical Data.srt |
24.97Кб |
| 24. Keras Project Solutions - Data PreProcessing.mp4 |
23.95Мб |
| 24. Keras Project Solutions - Data PreProcessing.srt |
4.99Кб |
| 25. Keras Project Solutions - Creating and Training a Model.mp4 |
29.72Мб |
| 25. Keras Project Solutions - Creating and Training a Model.srt |
5.89Кб |
| 26. Keras Project Solutions - Model Evaluation.mp4 |
63.17Мб |
| 26. Keras Project Solutions - Model Evaluation.srt |
13.42Кб |
| 27. Tensorboard.mp4 |
144.18Мб |
| 27. Tensorboard.srt |
28.72Кб |
| 3.1 FINAL_TF2_FILES.zip.zip |
99.27Мб |
| 3. Autoencoder for Dimensionality Reduction.mp4 |
117.47Мб |
| 3. Autoencoder for Dimensionality Reduction.srt |
28.02Кб |
| 3. Convolutional Layers.mp4 |
58.00Мб |
| 3. Convolutional Layers.srt |
20.76Кб |
| 3. Creating a GAN - Part Two - The Model.mp4 |
69.80Мб |
| 3. Creating a GAN - Part Two - The Model.srt |
17.30Кб |
| 3. FAQ - Frequently Asked Questions.html |
5.34Кб |
| 3. Model Prediction Function.mp4 |
53.03Мб |
| 3. Model Prediction Function.srt |
12.43Кб |
| 3. Neural Networks.mp4 |
35.79Мб |
| 3. Neural Networks.srt |
10.78Кб |
| 3. NLP - Part Two - Text Processing.mp4 |
22.88Мб |
| 3. NLP - Part Two - Text Processing.srt |
5.90Кб |
| 3. Numpy Index Selection.mp4 |
46.37Мб |
| 3. Numpy Index Selection.srt |
15.06Кб |
| 3. Overfitting.mp4 |
26.31Мб |
| 3. Overfitting.srt |
11.81Кб |
| 3. Pandas DataFrames - Part One.mp4 |
45.17Мб |
| 3. Pandas DataFrames - Part One.srt |
17.30Кб |
| 3. Seaborn Basics.mp4 |
91.85Мб |
| 3. Seaborn Basics.srt |
24.39Кб |
| 3. Vanishing Gradients.mp4 |
28.12Мб |
| 3. Vanishing Gradients.srt |
10.83Кб |
| 4.1 Great Blog Post on Exploring LSTM Neurons.html |
109б |
| 4.2 Famous Karpathy Blog Post.html |
116б |
| 4.3 Wikipedia Article Describing LSTM Variants.html |
113б |
| 4.4 How to choose between LSTM vs GRU.html |
140б |
| 4. Activation Functions.mp4 |
62.52Мб |
| 4. Activation Functions.srt |
16.06Кб |
| 4. Autoencoder for Images - Part One.mp4 |
94.09Мб |
| 4. Autoencoder for Images - Part One.srt |
23.48Кб |
| 4. Creating a GAN - Part Three - Model Training.mp4 |
131.58Мб |
| 4. Creating a GAN - Part Three - Model Training.srt |
34.19Кб |
| 4. Data Visualization Exercises.mp4 |
22.82Мб |
| 4. Data Visualization Exercises.srt |
5.08Кб |
| 4. Evaluating Performance - Classification Error Metrics.mp4 |
82.69Мб |
| 4. Evaluating Performance - Classification Error Metrics.srt |
24.71Кб |
| 4. LSTMS and GRU.mp4 |
41.94Мб |
| 4. LSTMS and GRU.srt |
16.71Кб |
| 4. NLP - Part Three - Creating Batches.mp4 |
81.69Мб |
| 4. NLP - Part Three - Creating Batches.srt |
17.93Кб |
| 4. NumPy Operations.mp4 |
48.60Мб |
| 4. NumPy Operations.srt |
11.65Кб |
| 4. Pandas DataFrames - Part Two.mp4 |
37.01Мб |
| 4. Pandas DataFrames - Part Two.srt |
13.60Кб |
| 4. Pooling Layers.mp4 |
27.65Мб |
| 4. Pooling Layers.srt |
9.92Кб |
| 4. Running a Basic Flask Application.mp4 |
62.02Мб |
| 4. Running a Basic Flask Application.srt |
15.16Кб |
| 5. Autoencoder for Images - Part Two - Noise Removal.mp4 |
60.51Мб |
| 5. Autoencoder for Images - Part Two - Noise Removal.srt |
11.35Кб |
| 5. Data Visualization Exercises - Solutions.mp4 |
50.46Мб |
| 5. Data Visualization Exercises - Solutions.srt |
10.78Кб |
| 5. DCGAN - Deep Convolutional Generative Adversarial Networks.mp4 |
57.17Мб |
| 5. DCGAN - Deep Convolutional Generative Adversarial Networks.srt |
9.58Кб |
| 5. Evaluating Performance - Regression Error Metrics.mp4 |
23.69Мб |
| 5. Evaluating Performance - Regression Error Metrics.srt |
8.40Кб |
| 5. Flask Postman API.mp4 |
69.11Мб |
| 5. Flask Postman API.srt |
14.96Кб |
| 5. MNIST Data Set Overview.mp4 |
21.11Мб |
| 5. MNIST Data Set Overview.srt |
6.94Кб |
| 5. Multi-Class Classification Considerations.mp4 |
45.90Мб |
| 5. Multi-Class Classification Considerations.srt |
15.94Кб |
| 5. NLP - Part Four - Creating the Model.mp4 |
64.31Мб |
| 5. NLP - Part Four - Creating the Model.srt |
14.30Кб |
| 5. NumPy Exercises.mp4 |
11.51Мб |
| 5. NumPy Exercises.srt |
2.13Кб |
| 5. Pandas Missing Data.mp4 |
44.06Мб |
| 5. Pandas Missing Data.srt |
15.04Кб |
| 5. RNN Batches.mp4 |
32.72Мб |
| 5. RNN Batches.srt |
11.87Кб |
| 6. Autoencoder Exercise Overview.mp4 |
33.92Мб |
| 6. Autoencoder Exercise Overview.srt |
5.15Кб |
| 6. CNN on MNIST - Part One - The Data.mp4 |
59.82Мб |
| 6. CNN on MNIST - Part One - The Data.srt |
17.66Кб |
| 6. Cost Functions and Gradient Descent.mp4 |
75.67Мб |
| 6. Cost Functions and Gradient Descent.srt |
27.02Кб |
| 6. Flask API - Using Requests Programmatically.mp4 |
19.90Мб |
| 6. Flask API - Using Requests Programmatically.srt |
5.66Кб |
| 6. GroupBy Operations.mp4 |
56.37Мб |
| 6. GroupBy Operations.srt |
13.98Кб |
| 6. NLP - Part Five - Training the Model.mp4 |
65.26Мб |
| 6. NLP - Part Five - Training the Model.srt |
13.80Кб |
| 6. Numpy Exercises - Solutions.mp4 |
48.59Мб |
| 6. Numpy Exercises - Solutions.srt |
10.66Кб |
| 6. RNN on a Sine Wave - The Data.mp4 |
40.13Мб |
| 6. RNN on a Sine Wave - The Data.srt |
12.20Кб |
| 6. Unsupervised Learning.mp4 |
18.82Мб |
| 6. Unsupervised Learning.srt |
7.02Кб |
| 7.1 Great walkthrough for BackPropagation!.html |
112б |
| 7. Autoencoder Exercise - Solutions.mp4 |
77.76Мб |
| 7. Autoencoder Exercise - Solutions.srt |
13.94Кб |
| 7. Backpropagation.mp4 |
57.68Мб |
| 7. Backpropagation.srt |
20.30Кб |
| 7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 |
98.92Мб |
| 7. CNN on MNIST - Part Two - Creating and Training the Model.srt |
23.34Кб |
| 7. Flask Front End.mp4 |
149.59Мб |
| 7. Flask Front End.srt |
26.31Кб |
| 7. NLP - Part Six - Generating Text.mp4 |
52.30Мб |
| 7. NLP - Part Six - Generating Text.srt |
11.65Кб |
| 7. Pandas Operations.mp4 |
61.21Мб |
| 7. Pandas Operations.srt |
18.66Кб |
| 7. RNN on a Sine Wave - Batch Generator.mp4 |
50.03Мб |
| 7. RNN on a Sine Wave - Batch Generator.srt |
11.26Кб |
| 8. CNN on MNIST - Part Three - Model Evaluation.mp4 |
38.48Мб |
| 8. CNN on MNIST - Part Three - Model Evaluation.srt |
9.53Кб |
| 8. Data Input and Output.mp4 |
93.48Мб |
| 8. Data Input and Output.srt |
16.94Кб |
| 8. Live Deployment to the Web.mp4 |
126.54Мб |
| 8. Live Deployment to the Web.srt |
24.35Кб |
| 8. RNN on a Sine Wave - Creating the Model.mp4 |
83.80Мб |
| 8. RNN on a Sine Wave - Creating the Model.srt |
20.64Кб |
| 8. TensorFlow vs. Keras Explained.mp4 |
10.47Мб |
| 8. TensorFlow vs. Keras Explained.srt |
2.91Кб |
| 9. CNN on CIFAR-10 - Part One - The Data.mp4 |
64.31Мб |
| 9. CNN on CIFAR-10 - Part One - The Data.srt |
16.46Кб |
| 9. Keras Syntax Basics - Part One - Preparing the Data.mp4 |
50.50Мб |
| 9. Keras Syntax Basics - Part One - Preparing the Data.srt |
14.73Кб |
| 9. Pandas Exercises.mp4 |
23.48Мб |
| 9. Pandas Exercises.srt |
4.32Кб |
| 9. RNN on a Sine Wave - LSTMs and Forecasting.mp4 |
83.49Мб |
| 9. RNN on a Sine Wave - LSTMs and Forecasting.srt |
17.94Кб |