Natural Language Processing - Deep Learning Models in Python

文件列表

• Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp454.5 MB
• Chapter 1 Welcome/001. Introduction and Outline.mp416.3 MB
• Chapter 1 Welcome/002. Special Offer.en.srt1.7 KB
• Chapter 1 Welcome/002. Special Offer.mp43.2 MB
• Chapter 2 Getting Set Up/001. Where To Get the Code.en.srt4.0 KB
• Chapter 2 Getting Set Up/001. Where To Get the Code.mp47.0 MB
• Chapter 2 Getting Set Up/002. How To Succeed in This Course.en.srt4.6 KB
• Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp46.3 MB
• Chapter 3 The Neuron/001. The Neuron - Section Introduction.en.srt3.2 KB
• Chapter 3 The Neuron/001. The Neuron - Section Introduction.mp44.9 MB
• Chapter 3 The Neuron/002. Fitting a Line.en.srt19.6 KB
• Chapter 3 The Neuron/002. Fitting a Line.mp432.4 MB
• Chapter 3 The Neuron/003. Classification Code Preparation.en.srt10.1 KB
• Chapter 3 The Neuron/003. Classification Code Preparation.mp415.3 MB
• Chapter 3 The Neuron/004. Text Classification in Tensorflow.en.srt12.4 KB
• Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp437.7 MB
• Chapter 3 The Neuron/005. The Neuron.en.srt13.9 KB
• Chapter 3 The Neuron/005. The Neuron.mp420.1 MB
• Chapter 3 The Neuron/006. How does a model learn.en.srt14.8 KB
• Chapter 3 The Neuron/006. How does a model learn.mp422.6 MB
• Chapter 3 The Neuron/007. The Neuron - Section Summary.en.srt2.4 KB
• Chapter 3 The Neuron/007. The Neuron - Section Summary.mp43.9 MB
• Chapter 4 Feedforward Artificial Neural Networks/001. ANN - Section Introduction.en.srt10.1 KB
• Chapter 4 Feedforward Artificial Neural Networks/001. ANN - Section Introduction.mp415.5 MB
• Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.en.srt13.0 KB
• Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.mp420.1 MB
• Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.en.srt12.8 KB
• Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp422.4 MB
• Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.en.srt24.3 KB
• Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp437.0 MB
• Chapter 4 Feedforward Artificial Neural Networks/005. Multiclass Classification.en.srt11.8 KB
• Chapter 4 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp419.5 MB
• Chapter 4 Feedforward Artificial Neural Networks/006. ANN Code Preparation.en.srt6.3 KB
• Chapter 4 Feedforward Artificial Neural Networks/006. ANN Code Preparation.mp49.9 MB
• Chapter 4 Feedforward Artificial Neural Networks/007. Text Classification ANN in Tensorflow.en.srt5.3 KB
• Chapter 4 Feedforward Artificial Neural Networks/007. Text Classification ANN in Tensorflow.mp416.2 MB
• Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.en.srt16.1 KB
• Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.mp424.1 MB
• Chapter 4 Feedforward Artificial Neural Networks/009. Text Preprocessing in Tensorflow.en.srt6.6 KB
• Chapter 4 Feedforward Artificial Neural Networks/009. Text Preprocessing in Tensorflow.mp413.1 MB
• Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.en.srt13.2 KB
• Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp420.4 MB
• Chapter 4 Feedforward Artificial Neural Networks/011. CBOW (Advanced).en.srt5.6 KB
• Chapter 4 Feedforward Artificial Neural Networks/011. CBOW (Advanced).mp47.7 MB
• Chapter 4 Feedforward Artificial Neural Networks/012. CBOW Exercise Prompt.en.srt1.0 KB
• Chapter 4 Feedforward Artificial Neural Networks/012. CBOW Exercise Prompt.mp42.2 MB
• Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).en.srt21.4 KB
• Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp451.6 MB
• Chapter 4 Feedforward Artificial Neural Networks/014. ANN - Section Summary.en.srt2.1 KB
• Chapter 4 Feedforward Artificial Neural Networks/014. ANN - Section Summary.mp43.2 MB
• Chapter 4 Feedforward Artificial Neural Networks/015. Aside How to Choose Hyperparameters (Optional).en.srt9.0 KB
• Chapter 4 Feedforward Artificial Neural Networks/015. Aside How to Choose Hyperparameters (Optional).mp415.0 MB
• Chapter 5 Convolutional Neural Networks/001. CNN - Section Introduction.en.srt6.2 KB
• Chapter 5 Convolutional Neural Networks/001. CNN - Section Introduction.mp410.6 MB
• Chapter 5 Convolutional Neural Networks/002. What is Convolution.en.srt22.0 KB
• Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp433.8 MB
• Chapter 5 Convolutional Neural Networks/003. What is Convolution (Pattern Matching).en.srt7.8 KB
• Chapter 5 Convolutional Neural Networks/003. What is Convolution (Pattern Matching).mp411.6 MB
• Chapter 5 Convolutional Neural Networks/004. What is Convolution (Weight Sharing).en.srt8.6 KB
• Chapter 5 Convolutional Neural Networks/004. What is Convolution (Weight Sharing).mp413.0 MB
• Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.en.srt22.0 KB
• Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp434.3 MB
• Chapter 5 Convolutional Neural Networks/006. CNN Architecture.en.srt29.8 KB
• Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp440.5 MB
• Chapter 5 Convolutional Neural Networks/007. CNNs for Text.en.srt10.4 KB
• Chapter 5 Convolutional Neural Networks/007. CNNs for Text.mp417.9 MB
• Chapter 5 Convolutional Neural Networks/008. Convolutional Neural Network for NLP in Tensorflow.en.srt5.5 KB
• Chapter 5 Convolutional Neural Networks/008. Convolutional Neural Network for NLP in Tensorflow.mp419.1 MB
• Chapter 5 Convolutional Neural Networks/009. CNN - Section Summary.en.srt1.9 KB
• Chapter 5 Convolutional Neural Networks/009. CNN - Section Summary.mp43.4 MB
• Chapter 6 Recurrent Neural Networks/001. RNN - Section Introduction.en.srt6.7 KB
• Chapter 6 Recurrent Neural Networks/001. RNN - Section Introduction.mp49.4 MB
• Chapter 6 Recurrent Neural Networks/002. Simple RNN Elman Unit (pt 1).en.srt12.1 KB
• Chapter 6 Recurrent Neural Networks/002. Simple RNN Elman Unit (pt 1).mp418.7 MB
• Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).en.srt13.6 KB
• Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).mp419.8 MB
• Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.en.srt13.3 KB
• Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.mp420.5 MB
• Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.en.srt10.2 KB
• Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp427.4 MB
• Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).en.srt23.8 KB
• Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp437.0 MB
• Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).en.srt15.8 KB
• Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp424.4 MB
• Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.en.srt6.0 KB
• Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp421.0 MB
• Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.en.srt24.6 KB
• Chapter 1 Welcome/001. Introduction and Outline.en.srt10.6 KB
• Chapter 6 Recurrent Neural Networks/010. Named Entity Recognition (NER) in Tensorflow.en.srt6.5 KB
• Chapter 6 Recurrent Neural Networks/010. Named Entity Recognition (NER) in Tensorflow.mp414.8 MB
• Chapter 6 Recurrent Neural Networks/011. Exercise Return to CNNs (Advanced).en.srt4.3 KB
• Chapter 6 Recurrent Neural Networks/011. Exercise Return to CNNs (Advanced).mp46.6 MB
• Chapter 6 Recurrent Neural Networks/012. RNN - Section Summary.en.srt2.5 KB
• Chapter 6 Recurrent Neural Networks/012. RNN - Section Summary.mp44.1 MB