Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
Welcome to DataFlair Keras Tutorial. This tutorial will introduce you to everything you need to know to get started with Keras. You will discover the characteristics, features, and various other properties of Keras. This article also explains the different neural network layers and the pre-trained models available in Keras. You will get the idea of how Keras makes it easier to try and experiment with new architectures in neural networks. And how Keras empowers new ideas and its implementation in a faster, efficient way.
Keras is an open-source deep learning framework developed in python. Developers favor Keras because it is user-friendly, modular, and extensible. Keras allows developers for fast experimentation with neural networks.
Keras is a high-level API and uses Tensorflow, Theano, or CNTK as its backend. It provides a very clean and easy way to create deep learning models.
Keras has the following characteristics:
The following major benefits of using Keras over other deep learning frameworks are:
Before installing TensorFlow, you should have one of its backends. We prefer you to install Tensorflow. Install Tensorflow and Keras using pip python package installer.
The basic data structure of Keras is model, it defines how to organize layers. A simple type of model is the Sequential model, a sequential way of adding layers. For more flexible architecture, Keras provides a Functional API. Functional API allows you to take multiple inputs and produce outputs.
It allows you to define more complex models.
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Learn the Features of Keras that make it worth to learn keras like backend support, the basis of innovation, and the simplicity of Keras API etc.
Learn what are Keras Models - Its definition, types and examples. Types of models in keras - Sequential and Functional API and Model Subclassing in keras.
Keras Tutorial For Beginners | Deep Learning Models Using Keras provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case.
In this Keras article, we will walk through different types of Keras layers, its properties and its parameters.