Multiclass classification using Keras
Multiclass classification using Keras
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Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
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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 about Keras Ecosystem components like Keras tuner, auto keras, TFX, Model Optimization Toolkit, Tensorflow Lite, Tensorflow.js and their features.Keras, other than being a high-level deep learning API also has some other initiatives for machine learning workflow. There is a wide range of machine learning frameworks whose development is based on Keras. In this article, we will discuss Keras Ecosystem. This ecosystem of frameworks tries to ease and optimize the current approach of training and deploying ML models. Keras Ecosystem Keeping you updated with latest technology trends, Join DataFlair on Telegram Keras Ecosystem Some of the frameworks for Keras Ecosystem are: 1. Auto Keras This framework was built at the DATA lab with an ambition of making machine learning accessible to everyone. It is a simple interface to perform many machine learning tasks. The supported tasks in auto Keras are image classifier, image regression, text classification, text regression, structured data classification, and structured data regression.
In this Keras tutorial, we will learn various modules in Keras. We will study the features and few of the applications of these modules.