TensorFlow Deep Learning Projects

封面

Title Page

Copyright and Credits

TensorFlow Deep Learning Projects

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Contributors

About the authors

About the reviewer

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Preface

Who this book is for

What this book covers

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Download the example code files

Conventions used

Get in touch

Reviews

Recognizing traffic signs using Convnets

The dataset

The CNN network

Image preprocessing

Train the model and make predictions

Follow-up questions

Summary

Annotating Images with Object Detection API

The Microsoft common objects in context

The TensorFlow object detection API

Grasping the basics of R-CNN R-FCN and SSD models

Presenting our project plan

Setting up an environment suitable for the project

Protobuf compilation

Windows installation

Unix installation

Provisioning of the project code

Some simple applications

Real-time webcam detection

Acknowledgements

Summary

Caption Generation for Images

What is caption generation?

Exploring image captioning datasets

Downloading the dataset

Converting words into embeddings

Image captioning approaches

Conditional random field

Recurrent neural network on convolution neural network

Caption ranking

Dense captioning

RNN captioning

Multimodal captioning

Attention-based captioning

Implementing a caption generation model

Summary

Building GANs for Conditional Image Creation

Introducing GANs

The key is in the adversarial approach

A cambrian explosion

DCGANs

Conditional GANs

The project

Dataset class

CGAN class

Putting CGAN to work on some examples

MNIST

Zalando MNIST

EMNIST

Reusing the trained CGANs

Resorting to Amazon Web Service

Acknowledgements

Summary

Stock Price Prediction with LSTM

Input datasets – cosine and stock price

Format the dataset

Using regression to predict the future prices of a stock

Long short-term memory – LSTM 101

Stock price prediction with LSTM

Possible follow - up questions

Summary

Create and Train Machine Translation Systems

A walkthrough of the architecture

Preprocessing of the corpora

Training the machine translator

Test and translate

Home assignments

Summary

Train and Set up a Chatbot Able to Discuss Like a Human

Introduction to the project

The input corpus

Creating the training dataset

Training the chatbot

Chatbox API

Home assignments

Summary

Detecting Duplicate Quora Questions

Presenting the dataset

Starting with basic feature engineering

Creating fuzzy features

Resorting to TF-IDF and SVD features