Deep Learning for NLP - Part 1

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Deep Learning for NLP - Part 1

Torrent Contents Size: 1.1 GB

Deep Learning for NLP - Part 1
▼ show more 37 files
1. Introduction-en_US.srt
SRT
1.2 KB
1. Introduction.mp4
MP4
4.3 MB
2. Onehot encoding and SVD-en_US.srt
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9.1 KB
2. Onehot encoding and SVD.mp4
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32.5 MB
2. Traditional n-gram language models and NNLM-en_US.srt
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12.6 KB
2. Traditional n-gram language models and NNLM.mp4
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55.6 MB
2. Why do we need Artificial Neural Networks (ANNs)-en_US.srt
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6.8 KB
2. Why do we need Artificial Neural Networks (ANNs).mp4
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29 MB
3. Artificial neuron activationintegration function, softmax, perceptron-en_US.srt
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22 KB
3. Artificial neuron activationintegration function, softmax, perceptron.mp4
MP4
86.5 MB
3. Recurrent Neural Networks RNNs-en_US.srt
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15.8 KB
3. Recurrent Neural Networks RNNs.mp4
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55.1 MB
3. word2vec (CBOW, Skipgram)-en_US.srt
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12.9 KB
3. word2vec (CBOW, Skipgram).mp4
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50.9 MB
4. Efficient Softmax approximations-en_US.srt
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16.6 KB
4. Efficient Softmax approximations.mp4
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61.7 MB
4. RNNs for Image captioning-en_US.srt
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6.7 KB
4. RNNs for Image captioning.mp4
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28.7 MB
4. Why do we need Multi-Layered Perceptrons-en_US.srt
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6.3 KB
4. Why do we need Multi-Layered Perceptrons.mp4
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18.7 MB
5. Bidirectional RNNs, Stacked RNNs, Vanishing gradients problem-en_US.srt
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12 KB
5. Bidirectional RNNs, Stacked RNNs, Vanishing gradients problem.mp4
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50 MB
5. Sampling-based approximations for softmax-en_US.srt
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25.3 KB
5. Sampling-based approximations for softmax.mp4
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102.5 MB
5. What is deep learning-en_US.srt
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9.6 KB
5. What is deep learning.mp4
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48.3 MB
6. GloVe-en_US.srt
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24.4 KB
6. GloVe.mp4
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107.8 MB
6. How does back-propagation work-en_US.srt
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12 KB
6. How does back-propagation work.mp4
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37.7 MB
6. Long Short-Term Memory Networks LSTMs-en_US.srt
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14.6 KB
6. Long Short-Term Memory Networks LSTMs.mp4
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62.3 MB
7. Cross-lingual word embedding models-en_US.srt
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34.1 KB
7. Cross-lingual word embedding models.mp4
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157.4 MB
7. Gated Recurrent Units GRUs-en_US.srt
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6.5 KB
7. Gated Recurrent Units GRUs.mp4
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23.1 MB
7. Overfitting, dropout and regularization-en_US.srt
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8.3 KB
7. Overfitting, dropout and regularization.mp4
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27.1 MB
8. Sub-word level embeddings-en_US.srt
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19.7 KB
8. Sub-word level embeddings.mp4
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84.6 MB
8. Summary-en_US.srt
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1.9 KB
8. Summary.mp4
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9 MB
9. Summary-en_US.srt
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2.2 KB
9. Summary.mp4
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10.6 MB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B

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