With Hands-On Natural Language Processing with Python, weave neural networks into linguistic applications across various platforms. Perform NLP tasks and train its models using NLTK and TensorFlow. (Limited-time offer)
Topics included: Getting Started • Text Classification and POS Tagging Using NLTK • Deep Learning and TensorFlow • Semantic Embedding • Using Shallow Models • Text Classification Using LSTM • Searching and DeDuplicating Using CNNs • Named Entity Recognition • Using Character LSTM • Text Generation and Summarization Using GRUs • Question-Answering and Chatbots Using Memory Networks • Machine Translation Using the Attention-Based Model • Speech Recognition Using DeepSpeech • Text-to-Speech Using Tacotron • Deploying Trained Models
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Publisher: Packt Publishing
Published: July 2018
File size: –
Number of pages: 312
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Free as of 09/26/2019.