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Title Page
Copyright and Credits
Neural Networks with Keras Cookbook
Dedication
About Packt
Why subscribe?
Packt.com
Contributors
About the author
About the reviewer
Packt is searching for authors like you
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Sections
Getting ready
How to do it…
How it works…
There's more…
See also
Get in touch
Reviews
Building a Feedforward Neural Network
Introduction
Architecture of a simple neural network
Training a neural network
Applications of a neural network
Feed-forward propagation from scratch in Python
Getting ready
How to do it...
Building back-propagation from scratch in Python
Getting ready
How to do it...
There's more...
Building a neural network in Keras
How to do it...
Installing Keras
Building our first model in Keras
Building a Deep Feedforward Neural Network
Training a vanilla neural network
Getting ready
How to do it...
How it works...
Scaling the input dataset
Getting ready
How to do it...
How it works...
There's more...
Impact on training when the majority of inputs are greater than zero
Getting ready
How to do it...
Impact of batch size on model accuracy
Getting ready
How to do it...
How it works...
Building a deep neural network to improve network accuracy
Getting ready
How to do it...
Varying the learning rate to improve network accuracy
Getting ready
How to do it...
Varying the loss optimizer to improve network accuracy
Getting ready
There's more...
Understanding the scenario of overfitting
Overcoming over-fitting using regularization
How to do it
Overcoming overfitting using dropout
Speeding up the training process using batch normalization
How to do it...
Applications of Deep Feedforward Neural Networks
Introduction
Predicting credit default
Getting ready
How to do it...
How it works...
Assigning weights for classes
Getting ready
How to do it...
Predicting house prices
Getting ready
How to do it...
Defining the custom loss function
Categorizing news articles into topics
Getting ready
How to do it...
Classifying common audio
How to do it...
Stock price prediction
Getting ready
How to do it...
Leveraging a functional API
How to do it...
Defining weights for rows
How to do it...
Building a Deep Convolutional Neural Network
Introduction
Inaccuracy of traditional neural networks when images are translated
How to do it...
Problems with traditional NN
Building a CNN from scratch using Python
Getting ready
Understanding convolution
Filter
Strides
Padding
From convolution to activation
From convolution activation to pooling
How do convolution and pooling help?
How to do it...
Validating the CNN output
CNNs to improve accuracy in the case of image translation
Getting ready
How to do it...
Gender classification using CNNs
Getting ready
How to do it...
There's more...
Data augmentation to improve network accuracy
Getting ready
How to do it...
Model accuracy without data augmentation
Model accuracy with data augmentation
Transfer Learning
Gender classification of the person in an image using CNNs
Getting ready
How to do it...
Scenario 1 – big images
Scenario 2 – smaller images
Scenario 3 – aggressive pooling on big images
Gender classification of the person in image using the VGG16 architecture-based model
Getting ready
How to do it...
Visualizing the output of the intermediate layers of a neural network
Getting ready
How to do it...
Gender classification of the person in image using the VGG19 architecture-based model
Getting ready
How to do it...
Gender classification using the Inception v3 architecture-based model
How to do it...
Gender classification of the person in image using the ResNet 50 architecture-based model
How to do it...
Detecting the key points within image of a face
Getting ready
How to do it...
Detecting and Localizing Objects in Images
Introduction
Creating the dataset for a bounding box
How to do it...
Windows
Ubuntu
MacOS
Generating region proposals within an image, using selective search
Getting ready
How to do it...
Calculating an intersection over a union between two images
How to do it...
Detecting objects, using region proposal-based CNN
Getting ready
How to do it...
Performing non-max suppression
Getting ready
How to do it...
Detecting a person using an anchor box-based algorithm
Getting ready
How to do it...
There's more...
Image Analysis Applications in Self-Driving Cars
Traffic sign identification
Getting ready
How to do it...
Predicting the angle within which a car needs to be turned
Getting ready
How to do it...
Instance segmentation using the U-net architecture
Getting ready
How to do it...
Semantic segmentation of objects in an image
Getting ready
How to do it...
Image Generation
Introduction
Generating images that can fool a neural network using adversarial attack
Getting ready
How to do it...
DeepDream algorithm to generate images
Getting ready
How to do it...
Neural style transfer between images
Getting ready
How to do it...
Generating images of digits using Generative Adversarial Networks
Getting ready
How to do it...
There's more...
Generating images using a Deep Convolutional GAN
How to do it...
Face generation using a Deep Convolutional GAN
Getting ready
How to do it...
Face transition from one to another
Getting ready
How to do it...
Performing vector arithmetic on generated images
Getting ready
How to do it...
There's more...
Encoding Inputs
Introduction
Need for encoding
Need for encoding in text analysis
Need for encoding in image analysis
Need for encoding in recommender systems
Encoding an image
Getting ready
How to do it...
Vanilla autoencoder
Multilayer autoencoder
Convolutional autoencoder
Grouping similar images
Encoding for recommender systems
Getting ready
How to do it...
Text Analysis Using Word Vectors
Introduction
Building a word vector from scratch in Python
Getting ready
How to do it...
Measuring the similarity between word vectors
Building a word vector using the skip-gram and CBOW models
Getting ready
How to do it
Performing vector arithmetic using pre-trained word vectors
How to do it...
Creating a document vector
Getting ready
How to do it...
Building word vectors using fastText
Getting ready
How to do it...
Building word vectors using GloVe
Getting ready
How to do it...
Building sentiment classification using word vectors
How to do it...
There's more...
Building a Recurrent Neural Network
Introduction
Intuition of RNN architecture
Interpreting an RNN
Why store memory?
Building an RNN from scratch in Python
Getting ready
How to do it...
Validating the output
Implementing RNN for sentiment classification
How to do it...
There's more...
Building a LSTM Network from scratch in Python
Getting ready
How to do it...
Validating the output
Implementing LSTM for sentiment classification
How to do it...
Implementing stacked LSTM for sentiment classification
How to do it...
There's more...
Applications of a Many-to-One Architecture RNN
Generating text
Getting ready
How to do it...
Movie recommendations
Getting ready
How to do it...
Taking user history into consideration
Topic-modeling, using embeddings
Getting ready
How to do it...
There's more...
Forecasting the value of a stock's price
Getting ready
How to do it...
The last five days' stock prices only
The pitfalls
Assigning different weights to different time periods
The last five days' stock prices plus news data
There's more...
Sequence-to-Sequence Learning
Introduction
Returning sequences of outputs from a network
Building a chatbot
Getting ready
How to do it...
Intent extraction
Putting it all together
Machine translation
Getting ready
How to do it...
Preprocessing the data
Traditional many to many architecture
Many to hidden to many architecture
Encoder decoder architecture for machine translation
Getting ready
How to do it...
Encoder decoder architecture with attention for machine translation
How to do it...
End-to-End Learning
Introduction
Connectionist temporal classification (CTC)
Decoding CTC
Calculating the CTC loss value
Handwritten-text recognition
Getting ready
How to do it...
Image caption generation
Getting ready
How to do it...
Generating captions, using beam search
Getting ready
How to do it...
Audio Analysis
Classifying a song by genre
Getting ready
How to do it...
Generating music using deep learning
Getting ready
How to do it...
Transcribing audio into text
Getting ready
How to do it...
There's more...
Reinforcement Learning
The optimal action to take in a simulated game with a non-negative reward
Getting ready
How to do it...
The optimal action to take in a state in a simulated game
Getting ready
How to do it...
There's more...
Q-learning to maximize rewards when playing Frozen Lake
Getting ready
How to do it...
Deep Q-learning to balance a cart pole
Getting ready
How to do it...
Deep Q-learning to play Space Invaders game
Getting ready
How to do it...
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