Book Name: Deep Learning for Natural Language Processing
Author: Karan Jain, Palash Goyal, Sumit Pandey
File size: 7.2 MB
File format: PDF
Deep Learning for Natural Language Processing Pdf Book Description:
Discover the concepts of profound learning employed for natural language processing (NLP), together with full scale examples of neural network models like recurrent neural networks, long short memory systems, and sequence-2-sequence versions.
The first 3 chapters of this book cover the fundamentals of NLP, beginning with word-vector representation prior to proceeding onto complex algorithms. The last chapters concentrate entirely on execution, and cope with complex architectures like RNN, LSTM, and Seq2seq, utilizing Python programs: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a innovative strategy and unites all of the knowledge you’ve gained to construct a more question-answer chatbot system.
This publication is a great starting point for those that wish to begin in profound learning for NLP. All of the code presented in the publication will soon be available in the kind of IPython scripts and laptops, which permit you to test out the illustrations and expand them in fascinating ways.