Author: Awais Farooq

As learned earlier, Keras model represents the actual neural network model. Keras provides a two mode to create the model, simple and easy to use Sequential API as well as more flexible and advanced Functional API. Let us learn now to create model using both Sequential and Functional API in this chapter. Sequential The core idea of Sequential API is simply arranging the Keras…

Keras allows to create our own customized layer. Once a new layer is created, it can be used in any model without any restriction. Let us learn how to create new layer in this chapter. Keras provides a base layer class, Layer which can sub-classed to create our own customized layer. Let us create a simple layer…

As learned earlier, Keras layers are the primary building block of Keras models. Each layer receives input information, do some computation and finally output the transformed information. The output of one layer will flow into the next layer as its input. Let us learn complete details about layers in this chapter. Introduction A Keras layer…

As we learned earlier, Keras modules contains pre-defined classes, functions and variables which are useful for deep learning algorithm. Let us learn the modules provided by Keras in this chapter. Available modules Let us first see the list of modules available in the Keras. Let us see backend module and utils model in this chapter. backend module backend module is used for…

Keras provides a complete framework to create any type of neural networks. Keras is innovative as well as very easy to learn. It supports simple neural network to very large and complex neural network model. Let us understand the architecture of Keras framework and how Keras helps in deep learning in this chapter. Architecture of…

Deep learning is an evolving subfield of machine learning. Deep learning involves analyzing the input in layer by layer manner, where each layer progressively extracts higher level information about the input. Let us take a simple scenario of analyzing an image. Let us assume that your input image is divided up into a rectangular grid…

This chapter explains Keras backend implementations TensorFlow and Theano in detail. Let us go through each implementation one by one. TensorFlow TensorFlow is an open source machine learning library used for numerical computational tasks developed by Google. Keras is a high level API built on top of TensorFlow or Theano. We know already how to…

This chapter explains about how to install Keras on your machine. Before moving to installation, let us go through the basic requirements of Keras. Prerequisites You must satisfy the following requirements − Python Keras is python based neural network library so python must be installed on your machine. If python is properly installed on your…

Deep learning is one of the major subfield of machine learning framework. Machine learning is the study of design of algorithms, inspired from the model of human brain. Deep learning is becoming more popular in data science fields like robotics, artificial intelligence(AI), audio & video recognition and image recognition. Artificial neural network is the core…