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)
Table of Contents
- 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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Author(s): Rajalingappaa Shanmugamani, Rajesh Arumugam
Publisher: Packt Publishing
Published: July 2018
Format(s): Online
File size: –
Number of pages: 312
Download / View Link(s): This offer has ended.
Free as of09/26/2019 06/26/2023.
Publisher: Packt Publishing
Published: July 2018
Format(s): Online
File size: –
Number of pages: 312
Download / View Link(s): This offer has ended.
Free as of