Natural Language Processing - Deep Learning Models in Python

Creation Time	July 31, 2024, 12:23 a.m.
Last Access Time	Nov. 22, 2024, 11:12 p.m.
File Size	890.8 MB
Keywords	Natural Language Models Processing - Deep Python Learning in
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Total Files	94
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Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 54.5 MB
Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp4 51.6 MB
Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp4 40.5 MB
Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp4 37.7 MB
Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 37.0 MB
Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp4 37.0 MB
Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp4 34.3 MB
Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp4 33.8 MB
Chapter 3 The Neuron/002. Fitting a Line.mp4 32.4 MB
Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp4 27.4 MB
Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp4 24.4 MB
Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.mp4 24.1 MB
Chapter 3 The Neuron/006. How does a model learn.mp4 22.6 MB
Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 22.4 MB
Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 21.0 MB
Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.mp4 20.5 MB
Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 20.4 MB
Chapter 3 The Neuron/005. The Neuron.mp4 20.1 MB
Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 20.1 MB
Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).mp4 19.8 MB
Chapter 4 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 19.5 MB
Chapter 5 Convolutional Neural Networks/008. Convolutional Neural Network for NLP in Tensorflow.mp4 19.1 MB
Chapter 6 Recurrent Neural Networks/002. Simple RNN Elman Unit (pt 1).mp4 18.7 MB
Chapter 5 Convolutional Neural Networks/007. CNNs for Text.mp4 17.9 MB
Chapter 1 Welcome/001. Introduction and Outline.mp4 16.3 MB
Chapter 4 Feedforward Artificial Neural Networks/007. Text Classification ANN in Tensorflow.mp4 16.2 MB
Chapter 4 Feedforward Artificial Neural Networks/001. ANN - Section Introduction.mp4 15.5 MB
Chapter 3 The Neuron/003. Classification Code Preparation.mp4 15.3 MB
Chapter 4 Feedforward Artificial Neural Networks/015. Aside How to Choose Hyperparameters (Optional).mp4 15.0 MB
Chapter 6 Recurrent Neural Networks/010. Named Entity Recognition (NER) in Tensorflow.mp4 14.8 MB
Chapter 4 Feedforward Artificial Neural Networks/009. Text Preprocessing in Tensorflow.mp4 13.1 MB
Chapter 5 Convolutional Neural Networks/004. What is Convolution (Weight Sharing).mp4 13.0 MB
Chapter 5 Convolutional Neural Networks/003. What is Convolution (Pattern Matching).mp4 11.6 MB
Chapter 5 Convolutional Neural Networks/001. CNN - Section Introduction.mp4 10.6 MB
Chapter 4 Feedforward Artificial Neural Networks/006. ANN Code Preparation.mp4 9.9 MB
Chapter 6 Recurrent Neural Networks/001. RNN - Section Introduction.mp4 9.4 MB
Chapter 4 Feedforward Artificial Neural Networks/011. CBOW (Advanced).mp4 7.7 MB
Chapter 2 Getting Set Up/001. Where To Get the Code.mp4 7.0 MB
Chapter 6 Recurrent Neural Networks/011. Exercise Return to CNNs (Advanced).mp4 6.6 MB
Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp4 6.3 MB
Chapter 3 The Neuron/001. The Neuron - Section Introduction.mp4 4.9 MB
Chapter 6 Recurrent Neural Networks/012. RNN - Section Summary.mp4 4.1 MB
Chapter 3 The Neuron/007. The Neuron - Section Summary.mp4 3.9 MB
Chapter 5 Convolutional Neural Networks/009. CNN - Section Summary.mp4 3.4 MB
Chapter 4 Feedforward Artificial Neural Networks/014. ANN - Section Summary.mp4 3.2 MB
Chapter 1 Welcome/002. Special Offer.mp4 3.2 MB
Chapter 4 Feedforward Artificial Neural Networks/012. CBOW Exercise Prompt.mp4 2.2 MB
Chapter 5 Convolutional Neural Networks/006. CNN Architecture.en.srt 29.8 KB
Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.en.srt 24.6 KB
Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.en.srt 24.3 KB
Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).en.srt 23.8 KB
Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.en.srt 22.0 KB
Chapter 5 Convolutional Neural Networks/002. What is Convolution.en.srt 22.0 KB
Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).en.srt 21.4 KB
Chapter 3 The Neuron/002. Fitting a Line.en.srt 19.6 KB
Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.en.srt 16.1 KB
Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).en.srt 15.8 KB
Chapter 3 The Neuron/006. How does a model learn.en.srt 14.8 KB
Chapter 3 The Neuron/005. The Neuron.en.srt 13.9 KB
Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).en.srt 13.6 KB
Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.en.srt 13.3 KB
Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.en.srt 13.2 KB
Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.en.srt 13.0 KB
Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.en.srt 12.8 KB
Chapter 3 The Neuron/004. Text Classification in Tensorflow.en.srt 12.4 KB
Chapter 6 Recurrent Neural Networks/002. Simple RNN Elman Unit (pt 1).en.srt 12.1 KB
Chapter 4 Feedforward Artificial Neural Networks/005. Multiclass Classification.en.srt 11.8 KB
Chapter 1 Welcome/001. Introduction and Outline.en.srt 10.6 KB
Chapter 5 Convolutional Neural Networks/007. CNNs for Text.en.srt 10.4 KB
Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.en.srt 10.2 KB
Chapter 3 The Neuron/003. Classification Code Preparation.en.srt 10.1 KB
Chapter 4 Feedforward Artificial Neural Networks/001. ANN - Section Introduction.en.srt 10.1 KB
Chapter 4 Feedforward Artificial Neural Networks/015. Aside How to Choose Hyperparameters (Optional).en.srt 9.0 KB
Chapter 5 Convolutional Neural Networks/004. What is Convolution (Weight Sharing).en.srt 8.6 KB
Chapter 5 Convolutional Neural Networks/003. What is Convolution (Pattern Matching).en.srt 7.8 KB
Chapter 6 Recurrent Neural Networks/001. RNN - Section Introduction.en.srt 6.7 KB
Chapter 4 Feedforward Artificial Neural Networks/009. Text Preprocessing in Tensorflow.en.srt 6.6 KB
Chapter 6 Recurrent Neural Networks/010. Named Entity Recognition (NER) in Tensorflow.en.srt 6.5 KB
Chapter 4 Feedforward Artificial Neural Networks/006. ANN Code Preparation.en.srt 6.3 KB
Chapter 5 Convolutional Neural Networks/001. CNN - Section Introduction.en.srt 6.2 KB
Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.en.srt 6.0 KB
Chapter 4 Feedforward Artificial Neural Networks/011. CBOW (Advanced).en.srt 5.6 KB
Chapter 5 Convolutional Neural Networks/008. Convolutional Neural Network for NLP in Tensorflow.en.srt 5.5 KB
Chapter 4 Feedforward Artificial Neural Networks/007. Text Classification ANN in Tensorflow.en.srt 5.3 KB
Chapter 2 Getting Set Up/002. How To Succeed in This Course.en.srt 4.6 KB
Chapter 6 Recurrent Neural Networks/011. Exercise Return to CNNs (Advanced).en.srt 4.3 KB
Chapter 2 Getting Set Up/001. Where To Get the Code.en.srt 4.0 KB
Chapter 3 The Neuron/001. The Neuron - Section Introduction.en.srt 3.2 KB
Chapter 6 Recurrent Neural Networks/012. RNN - Section Summary.en.srt 2.5 KB
Chapter 3 The Neuron/007. The Neuron - Section Summary.en.srt 2.4 KB
Chapter 4 Feedforward Artificial Neural Networks/014. ANN - Section Summary.en.srt 2.1 KB
Chapter 5 Convolutional Neural Networks/009. CNN - Section Summary.en.srt 1.9 KB
Chapter 1 Welcome/002. Special Offer.en.srt 1.7 KB
Chapter 4 Feedforward Artificial Neural Networks/012. CBOW Exercise Prompt.en.srt 1.0 KB

Natural Language Processing - Deep Learning Models in Python

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