Keras
What is Keras used for?
Keras is used for designing and training deep learning models efficiently and conveniently, handling tasks across various fields like image processing, natural language processing, and more due to its simplicity and robust API.
What is Keras and TensorFlow?
Keras is a high-level neural networks API which was originally independent but now integrated within TensorFlow as `tf.keras`.
Is Keras good for beginners?
Yes, Keras is beginner friendly interface that simplifies the complexities of building and training deep learning models, making it accessible and easy to learn.
Why Keras is used in CNN?
Keras is widely used in convolutional neural networks (CNNs) due to its straightforward functionalities for layer stacking, which is essential for building the deep, layered structures necessary for image and video recognition tasks.
What is Keras?
Keras is an open-source deep-learning framework that gained attention due to its user-friendly interface. Keras offers ease of use, flexibility, and the ability to run seamlessly on top of TensorFlow. In this article, we are going to provide a comprehensive overview of Keras.
Table of Content
- Understanding Keras
- History of Keras
- Key Features of Keras Library
- How to Build a Model in Keras?
- Building Model using Sequential API
- Building Model using Functional API
- Applications of Keras