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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [TGx]Downloaded from torrentgalaxy.org.txt |
524B |
| 007. When do MLPs (not) work well .html |
7.39KB |
| 008. Mini Project Training an MLP on MNIST.html |
10.34KB |
| 01. Additional NLP Lessons.html |
5.28KB |
| 01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.en.vtt |
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| 01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.mp4 |
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| 01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.zh-CN.vtt |
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| 01. Feature Extraction.html |
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| 01. Feature Extraction-Bd6TJB8eVLQ.en.vtt |
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| 01. Feature Extraction-Bd6TJB8eVLQ.mp4 |
2.26MB |
| 01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt |
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| 01. Intro.html |
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| 01. Intro.html |
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| 01. Intro.html |
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| 01. Introducing Alexis.html |
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| 01. Introducing Alexis-38ExGpdyvJI.en.vtt |
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| 01. Introducing Alexis-38ExGpdyvJI.mp4 |
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| 01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt |
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| 01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt |
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| 01. Introducing Jay.html |
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| 01. Introducing Jay Alammar.html |
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| 01. Introducing Jeremy.html |
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| 01. Introducing Jeremy-U7RmFpVevis.en.vtt |
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| 01. Introducing Jeremy-U7RmFpVevis.mp4 |
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| 01. Introducing Jeremy-U7RmFpVevis.zh-CN.vtt |
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| 01. Introduction.html |
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| 01. Introduction-ZWRZvOXiC28.en.vtt |
3.53KB |
| 01. Introduction-ZWRZvOXiC28.mp4 |
12.77MB |
| 01. Introduction-ZWRZvOXiC28.zh-CN.vtt |
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| 01. Intro to LSTM.html |
5.90KB |
| 01. Modeling.html |
4.67KB |
| 01. Natural Language Processing-UQBxJzoCp-I.en.vtt |
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| 01. Natural Language Processing-UQBxJzoCp-I.mp4 |
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| 01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt |
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| 01. NLP and Pipelines.html |
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| 01. NLP Overview.html |
5.34KB |
| 01. Overview.html |
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| 01. Overview.html |
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| 01. Text Processing.html |
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| 01. Text Processing-6LO6I5M18PQ.en.vtt |
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| 01. Text Processing-6LO6I5M18PQ.mp4 |
1.77MB |
| 01. Text Processing-6LO6I5M18PQ.zh-CN.vtt |
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| 01. Welcome to NLP-g-AlFF61p0I.en.vtt |
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| 01. Welcome to NLP-g-AlFF61p0I.mp4 |
4.97MB |
| 01. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt |
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| 02. Applications of CNNs.html |
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| 02. Applications of CNNs-HrYNL_1SV2Y.en.vtt |
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| 02. Applications of CNNs-HrYNL_1SV2Y.mp4 |
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| 02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt |
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| 02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt |
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| 02. Bag of Words.html |
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| 02. Bag Of Words-A7M1z8yLl0w.en.vtt |
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| 02. Bag Of Words-A7M1z8yLl0w.mp4 |
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| 02. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt |
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| 02. Classification Problems 1.html |
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| 02. Classsification Example-Dh625piH7Z0.en.vtt |
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| 02. Classsification Example-Dh625piH7Z0.mp4 |
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| 02. Classsification Example-Dh625piH7Z0.pt-BR.vtt |
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| 02. Classsification Example-Dh625piH7Z0.zh-CN.vtt |
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| 02. Coding Exercises.html |
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| 02. Embeddings Intro.html |
6.56KB |
| 02. Getting Started.html |
4.58KB |
| 02. How NLP Pipelines Work.html |
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| 02. Installing TensorFlow.html |
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| 02. Introduction.html |
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| 02. Introduction-erwnzFD7AeE.en.vtt |
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| 02. Introduction-erwnzFD7AeE.mp4 |
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| 02. Introduction-erwnzFD7AeE.pt-BR.vtt |
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| 02. Introduction-erwnzFD7AeE.zh-CN.vtt |
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| 02. Introduction to GPU Workspaces.html |
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| 02. IntroToRNNs Render-64HSG6HAfEI.en-US.vtt |
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| 02. IntroToRNNs Render-64HSG6HAfEI.mp4 |
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| 02. IntroToRNNs Render-64HSG6HAfEI.pt.vtt |
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| 02. IntroToRNNs Render-64HSG6HAfEI.zh-CN.vtt |
3.88KB |
| 02. Jay's Introduction-HPOzAlXhuxQ.en.vtt |
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| 02. Jay's Introduction-HPOzAlXhuxQ.mp4 |
5.81MB |
| 02. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt |
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| 02. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt |
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| 02. Jay Introduction.html |
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| 02. Language Model.html |
173.52KB |
| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt |
1.74KB |
| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 |
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| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt |
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| 02. Review of RNNs.html |
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| 02. RNN vs LSTM.html |
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| 02. RNN Vs LSTM-70MgF-IwAr8.en.vtt |
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| 02. RNN Vs LSTM-70MgF-IwAr8.mp4 |
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| 02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt |
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| 02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt |
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| 02. Section 1 Introduction-_zo6RiwmDCk.en.vtt |
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| 02. Section 1 Introduction-_zo6RiwmDCk.mp4 |
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| 02. Section 1 Introduction-_zo6RiwmDCk.zh-CN.vtt |
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| 02. Section 1 Motivation for RNNs.html |
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| 02. Sentiment Prediction-uGN3rZJRiMY.en.vtt |
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| 02. Sentiment Prediction-uGN3rZJRiMY.mp4 |
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| 02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt |
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| 02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt |
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| 02. Sentiment RNN.html |
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| 02. Structured Languages.html |
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| 02. Structured Languages-NsmqUIHlk6U.en.vtt |
1.79KB |
| 02. Structured Languages-NsmqUIHlk6U.mp4 |
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| 02. Structured Languages-NsmqUIHlk6U.zh-CN.vtt |
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| 02-guide-how-transfer-learning-v3-01.png |
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| 02-guide-how-transfer-learning-v3-02.png |
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| 02-guide-how-transfer-learning-v3-03.png |
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| 02-guide-how-transfer-learning-v3-04.png |
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| 02-guide-how-transfer-learning-v3-09.png |
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| 02-guide-how-transfer-learning-v3-10.png |
241.76KB |
| 03. Applications.html |
5.06KB |
| 03. Applications seq2seq-tDJBDwriJYQ.en.vtt |
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| 03. Applications seq2seq-tDJBDwriJYQ.mp4 |
2.48MB |
| 03. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt |
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| 03. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt |
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| 03. Basics of LSTM.html |
5.13KB |
| 03. Capturing Text Data.html |
5.84KB |
| 03. Capturing Text Data-Z4mnMN1ApG4.en.vtt |
1.77KB |
| 03. Capturing Text Data-Z4mnMN1ApG4.mp4 |
2.37MB |
| 03. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt |
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| 03. Classification Example-46PywnGa_cQ.en.vtt |
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| 03. Classification Example-46PywnGa_cQ.mp4 |
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| 03. Classification Example-46PywnGa_cQ.pt-BR.vtt |
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| 03. Classification Example-46PywnGa_cQ.zh-CN.vtt |
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| 03. Classification Problems 2.html |
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| 03. Data Preprocessing.html |
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| 03. Data Preprocessing-h4-LwZU9_k8.en.vtt |
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| 03. Data Preprocessing-h4-LwZU9_k8.mp4 |
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| 03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt |
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| 03. Data Preprocessing-h4-LwZU9_k8.zh-CN.vtt |
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| 03. Grammar.html |
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| 03. Grammar-Jw3dA7xmoQ4.en.vtt |
727B |
| 03. Grammar-Jw3dA7xmoQ4.mp4 |
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| 03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt |
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| 03. Hello, Tensor World!.html |
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| 03. How Computers Interpret Images.html |
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| 03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt |
5.52KB |
| 03. How Computers Interpret Images-V4f6p6uRhu8.mp4 |
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| 03. How Computers Interpret Images-V4f6p6uRhu8.pt-BR.vtt |
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| 03. How Computers Interpret Images-V4f6p6uRhu8.zh-CN.vtt |
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| 03. Implementing Word2Vec.html |
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| 03. Implementing Word2Vec-7M431_f9HgE.en.vtt |
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| 03. Implementing Word2Vec-7M431_f9HgE.mp4 |
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| 03. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt |
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| 03. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt |
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| 03. Learning Rate.html |
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| 03. Learning Rate-HLMjeDez7ps.en.vtt |
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| 03. Learning Rate-HLMjeDez7ps.mp4 |
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| 03. Learning Rate-HLMjeDez7ps.pt-BR.vtt |
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| 03. Learning Rate-HLMjeDez7ps.zh-CN.vtt |
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| 03. LSTM Basics-gjb68a4XsqE.en.vtt |
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| 03. LSTM Basics-gjb68a4XsqE.mp4 |
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| 03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt |
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| 03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt |
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| 03. LSTMs-RYbSHogZetc.en.vtt |
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| 03. LSTMs-RYbSHogZetc.mp4 |
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| 03. LSTMs-RYbSHogZetc.pt.vtt |
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| 03. LSTMs-RYbSHogZetc.zh-CN.vtt |
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| 03. Motivation for RNNs.html |
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| 03. Motivation for RNNs-vPhD02WxMk8.en.vtt |
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| 03. Motivation for RNNs-vPhD02WxMk8.mp4 |
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| 03. Motivation for RNNs-vPhD02WxMk8.zh-CN.vtt |
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| 03. NLP Machine Translation Workspace.html |
5.07KB |
| 03. Review of LSTMs.html |
5.55KB |
| 03. Sentiment Analysis.html |
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| 03. Tasks.html |
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| 03. Text Processing.html |
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| 03. Text Processing-pqheVyctkNQ.en.vtt |
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| 03. Text Processing-pqheVyctkNQ.mp4 |
2.96MB |
| 03. Text Processing-pqheVyctkNQ.zh-CN.vtt |
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| 03. TF-IDF.html |
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| 03. TF-IDF-XZBiBIRcACE.en.vtt |
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| 03. TF-IDF-XZBiBIRcACE.mp4 |
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| 03. TF-IDF-XZBiBIRcACE.zh-CN.vtt |
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| 04. Architecture encoder decoder-dkHdEAJnV_w.en.vtt |
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| 04. Architecture encoder decoder-dkHdEAJnV_w.mp4 |
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| 04. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt |
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| 04. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt |
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| 04. Architecture of LSTM.html |
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| 04. Architectures.html |
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| 04. Bookworm (Optional).html |
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| 04. Character-Wise RNN-dXl3eWCGLdU.en.vtt |
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| 04. Character-Wise RNN-dXl3eWCGLdU.mp4 |
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| 04. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt |
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| 04. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt |
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| 04. Character-wise RNNs.html |
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| 04. Creating Testing Sets.html |
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| 04. Creating Testing Sets-BRBbrNLz1ho.en.vtt |
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| 04. Creating Testing Sets-BRBbrNLz1ho.mp4 |
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| 04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt |
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| 04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt |
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| 04. Feature Extraction.html |
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| 04. Feature Extraction-UgENzCmfFWE.en.vtt |
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| 04. Feature Extraction-UgENzCmfFWE.mp4 |
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| 04. Feature Extraction-UgENzCmfFWE.zh-CN.vtt |
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| 04. Learning Rate.html |
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| 04. Linear Boundaries.html |
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| 04. Linear Boundaries-X-uMlsBi07k.en.vtt |
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| 04. Linear Boundaries-X-uMlsBi07k.mp4 |
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| 04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt |
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| 04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt |
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| 04. LSTM Architecture-ycwthhdx8ws.en.vtt |
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| 04. LSTM Architecture-ycwthhdx8ws.mp4 |
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| 04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt |
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| 04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt |
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| 04. MLPs for Image Classification.html |
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| 04. MLPs For Image Classification-TIFStebu530.en.vtt |
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| 04. MLPs For Image Classification-TIFStebu530.mp4 |
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| 04. MLPs For Image Classification-TIFStebu530.pt-BR.vtt |
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| 04. MLPs For Image Classification-TIFStebu530.zh-CN.vtt |
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| 04. One-Hot Encoding.html |
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| 04. One-Hot Encoding-a0j1CDXFYZI.en.vtt |
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| 04. One-Hot Encoding-a0j1CDXFYZI.mp4 |
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| 04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt |
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| 04. Quiz Read Text Files.html |
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| 04. Quiz TensorFlow Linear Function.html |
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| 04. Subsampling Solution.html |
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| 04. Subsampling Solution-MAUM_mV_lj8.en.vtt |
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| 04. Subsampling Solution-MAUM_mV_lj8.mp4 |
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| 04. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt |
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| 04. Topic Modeling.html |
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| 04. Unstructured Text.html |
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| 04. Unstructured Text-OmwSdaec5vU.en.vtt |
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| 04. Unstructured Text-OmwSdaec5vU.mp4 |
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| 04. Unstructured Text-OmwSdaec5vU.zh-CN.vtt |
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| 04. Vanilla learning and structured input-oAt0eYD5_Tc.en.vtt |
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| 04. Vanilla learning and structured input-oAt0eYD5_Tc.mp4 |
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| 04. Vanilla learning and structured input-oAt0eYD5_Tc.zh-CN.vtt |
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| 04. Vanilla supervised learners and structured input.html |
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| 05. 09 Higher Dimensions-eBHunImDmWw.en.vtt |
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| 05. 09 Higher Dimensions-eBHunImDmWw.mp4 |
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| 05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt |
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| 05. Architecture in More Depth-rdAo4MqLbEk.en.vtt |
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| 05. Architecture in More Depth-rdAo4MqLbEk.mp4 |
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| 05. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt |
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| 05. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt |
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| 05. Architectures in More Depth.html |
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| 05. Building the RNN.html |
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| 05. Building The RNN 1-XTD6slf64fM.en.vtt |
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| 05. Building The RNN 1-XTD6slf64fM.mp4 |
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| 05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt |
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| 05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt |
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| 05. Categorical Cross-Entropy.html |
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| 05. Categorical Cross-Entropy-3sDYifgjFck.zh-CN.vtt |
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| 05. Cleaning.html |
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| 05. Cleaning-qawXp9DPV6I.en.vtt |
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| 05. Cleaning-qawXp9DPV6I.mp4 |
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| 05. Cleaning-qawXp9DPV6I.zh-CN.vtt |
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| 05. Counting Words.html |
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| 05. Higher Dimensions.html |
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| 05. Learn Gate-aVHVI7ovbHY.en.vtt |
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| 05. Learn Gate-aVHVI7ovbHY.mp4 |
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| 05. Making Batches.html |
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| 05. Making Batches-jx7qwdw-94k.mp4 |
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| 05. Minibatch Size.html |
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| 05. Modeling.html |
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| 05. Modeling-P4w_2rkxBvE.zh-CN.vtt |
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| 05. Quiz TensorFlow Softmax.html |
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| 05. Search and Ranking.html |
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| 05. Section 2 Introduction-behe53793wo.en.vtt |
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| 05. Section 2 Motivating and Modelling Recursive Sequences.html |
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| 05. Sequence Batching.html |
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| 05. Sequence-Batching-Z4OiyU0Cldg.en.vtt |
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| 05. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt |
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| 05. The Learn Gate.html |
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| 05. Word Embeddings.html |
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| 06. Batches Solution.html |
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| 15. Injecting Recursivity into a Learner (the lazy way).html |
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| workspaces-menu.png |
93.96KB |
| workspaces-new.png |
85.21KB |
| workspaces-notebook.png |
142.90KB |
| workspaces-submit.png |
146.20KB |
| workspaces-terminal.png |
46.91KB |
| xor.png |
214.95KB |
| xor-quiz.png |
94.14KB |