Quora (www.quora.com) is a community-driven question and answer website where users, either anonymously or publicly, ask and answer questions. In January 2017, Quora first released a public dataset consisting of question pairs, either duplicate or not. A duplicate pair of questions is semantically similar; in other words, two questions being duplicated means that they carry the same meaning, although they use a different set of words to express the exact same intent. For Quora, it is paramount to have a single question page for each distinct question, in order to offer a better service to users consulting its repository of answers, so they won't have to look for any more sources before finding all they need to know. Moderators can be helpful in avoiding duplicated content on the site, but that won't easily scale, given the increasing...
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Book Overview & Buying
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Table Of Contents
TensorFlow Deep Learning Projects
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TensorFlow Deep Learning Projects
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Overview of this book
TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects.
TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. You'll learn how to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing this, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation and use reinforcement learning techniques to play games.
By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently.
Table of Contents (12 chapters)
Preface
Free Chapter
Recognizing traffic signs using Convnets
Annotating Images with Object Detection API
Caption Generation for Images
Building GANs for Conditional Image Creation
Stock Price Prediction with LSTM
Create and Train Machine Translation Systems
Train and Set up a Chatbot, Able to Discuss Like a Human
Detecting Duplicate Quora Questions
Building a TensorFlow Recommender System
Video Games by Reinforcement Learning
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