TensorFlow Deep Learning Projects: 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios
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. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, 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.
This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book.
Chapter 1 Recognizing traffic signs using Convnets
Chapter 2 Annotating Images with Object Detection API
Chapter 3 Caption generation for images
Chapter 4 Building GANs for Conditional Image Creation
Chapter 5 Stock Price Prediction with LSTM
Chapter 6 Create & Train Machine Translation Systems
Chapter 7 Train and set up a Chatbot, able to discuss like a human
Chapter 8 Detecting Duplicate Quora Questions
Chapter 9 Building a TensorFlow Recommender Systems
Chapter 10 Video Games by Reinforcement learning