[ FreeCourseWeb.com ] Udemy - Deep Learning for NLP - Part 1

磁力链接/BT种子名称

[ FreeCourseWeb.com ] Udemy - Deep Learning for NLP - Part 1

磁力链接/BT种子简介

种子哈希：18dc4029f12b8619c72a329f2cadbbfa01deb761
文件大小： 1.14G
已经下载：401次
下载速度：极快
收录时间：2024-03-11
最近下载：2024-11-27

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文件列表

  • ~Get Your Files Here !/2. Word Embeddings/7. Cross-lingual word embedding models.mp4 165.0 MB
  • ~Get Your Files Here !/2. Word Embeddings/6. GloVe.mp4 113.1 MB
  • ~Get Your Files Here !/2. Word Embeddings/5. Sampling-based approximations for softmax.mp4 107.5 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/3. Artificial neuron activationintegration function, softmax, perceptron.mp4 90.7 MB
  • ~Get Your Files Here !/2. Word Embeddings/8. Sub-word level embeddings.mp4 88.8 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/6. Long Short-Term Memory Networks LSTMs.mp4 65.3 MB
  • ~Get Your Files Here !/2. Word Embeddings/4. Efficient Softmax approximations.mp4 64.7 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/2. Traditional n-gram language models and NNLM.mp4 58.3 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/3. Recurrent Neural Networks RNNs.mp4 57.7 MB
  • ~Get Your Files Here !/2. Word Embeddings/3. word2vec (CBOW, Skipgram).mp4 53.4 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/5. Bidirectional RNNs, Stacked RNNs, Vanishing gradients problem.mp4 52.4 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/5. What is deep learning.mp4 50.7 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/6. How does back-propagation work.mp4 39.5 MB
  • ~Get Your Files Here !/2. Word Embeddings/2. Onehot encoding and SVD.mp4 34.0 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/2. Why do we need Artificial Neural Networks (ANNs).mp4 30.4 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/4. RNNs for Image captioning.mp4 30.1 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/7. Overfitting, dropout and regularization.mp4 28.4 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/7. Gated Recurrent Units GRUs.mp4 24.2 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/4. Why do we need Multi-Layered Perceptrons.mp4 19.6 MB
  • ~Get Your Files Here !/2. Word Embeddings/9. Summary.mp4 11.1 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/8. Summary.mp4 10.4 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/8. Summary.mp4 9.5 MB
  • ~Get Your Files Here !/2. Word Embeddings/1. Introduction.mp4 8.6 MB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/1. Introduction.mp4 6.9 MB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/1. Introduction.mp4 4.5 MB
  • ~Get Your Files Here !/2. Word Embeddings/7. Cross-lingual word embedding models-en_US.srt 34.9 kB
  • ~Get Your Files Here !/2. Word Embeddings/5. Sampling-based approximations for softmax-en_US.srt 25.9 kB
  • ~Get Your Files Here !/2. Word Embeddings/6. GloVe-en_US.srt 25.0 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/3. Artificial neuron activationintegration function, softmax, perceptron-en_US.srt 22.5 kB
  • ~Get Your Files Here !/2. Word Embeddings/8. Sub-word level embeddings-en_US.srt 20.1 kB
  • ~Get Your Files Here !/2. Word Embeddings/4. Efficient Softmax approximations-en_US.srt 17.0 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/3. Recurrent Neural Networks RNNs-en_US.srt 16.2 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/6. Long Short-Term Memory Networks LSTMs-en_US.srt 15.0 kB
  • ~Get Your Files Here !/2. Word Embeddings/3. word2vec (CBOW, Skipgram)-en_US.srt 13.3 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/2. Traditional n-gram language models and NNLM-en_US.srt 12.9 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/5. Bidirectional RNNs, Stacked RNNs, Vanishing gradients problem-en_US.srt 12.3 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/6. How does back-propagation work-en_US.srt 12.3 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/5. What is deep learning-en_US.srt 9.9 kB
  • ~Get Your Files Here !/2. Word Embeddings/2. Onehot encoding and SVD-en_US.srt 9.3 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/7. Overfitting, dropout and regularization-en_US.srt 8.5 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/2. Why do we need Artificial Neural Networks (ANNs)-en_US.srt 6.9 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/4. RNNs for Image captioning-en_US.srt 6.9 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/7. Gated Recurrent Units GRUs-en_US.srt 6.6 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/4. Why do we need Multi-Layered Perceptrons-en_US.srt 6.5 kB
  • ~Get Your Files Here !/2. Word Embeddings/1. Introduction-en_US.srt 3.3 kB
  • ~Get Your Files Here !/2. Word Embeddings/9. Summary-en_US.srt 2.2 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/1. Introduction-en_US.srt 2.2 kB
  • ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/8. Summary-en_US.srt 2.1 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/8. Summary-en_US.srt 2.0 kB
  • ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/1. Introduction-en_US.srt 1.3 kB
  • ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
  • Get Bonus Downloads Here.url 183 Bytes

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