What is Keras and Tensorflow | Keras vs Tensorflow

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.

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

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

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

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[antonykahuro]

Nice work.. and thanks for the CNN videos

[supriyamanna]

bhai, I am facing a problem in taking notes in coding class, when they explain and run th cdeo I do the same and run the code to test it on my own but after that I can't take notes as you know that both is not possible at a time, now at the time of taking notes, I can't focus on the context as I am busy making good notes but of no use--what should I do now?
how to even manage?

[danishahhana]

Hi. Can you explain about Google Colab?

[ulmwfue]

I am waiting cnn from scratch with numpy