In this video, we will understand what is Keras and Tensorflow.

Tensorflow is a free and open-source library for machine learning and artificial intelligence. It was developed by Google. And it can be used for developing large-scale machine learning applications, and it is also highly used by researchers to push the state of the art in machine learning.

Keras is also an open-source library for machine learning and neural network but it higher-level API compared to Tensorflow and can run on top of Tensorflow.

Training of model and execution is fast in Tensorflow, while it is slow in Keras. Thus Keras is used mainly for rapid prototyping and applications dealing with small datasets. Whereas, Tensorflow is used for creating large-scale applications.



Timestamps:
0:00 Keras and Tensorflow Overview
1:45 Difference between Keras and Tensorflow
3:02 End



Follow my entire playlist on Convolutional Neural Network (CNN) :

CNN Playlist: https://www.youtube.com/watch?v=E5Z7FQp7AQQ&list=PLuhqtP7jdD8CD6rOWy20INGM44kULvrHu&t=0s

At the end of some videos, you will also find quizzes that can help you to understand the concept and retain your learning.



Complete Neural Network Playlist:https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s

Complete Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s

Complete Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s



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