Convolutional Neural Networks Explained | How CNN Works | CNN With Python | Great Learning

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This "Convolutional Neural Networks" Tutorial will help you to comprehensively understand all the concepts of CNNs. Convolutional Neural networks make it possible for machines to visualize the world like humans and thus have become an important concept to learn while working in Computer vision. These convolutional neural networks excel at classifying image data.

This session comprises of the following topics:
00:00:00 Introduction
00:01:02 - Demo on CNNs
00:53:23 - 1:03:50 - CNN Theoretical Concepts
01:03:50 - Data Augmentation, Regularization and Drop out Layer

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Also to access the datasets, projects, assessments, and codes, register on Great Learning Academy. You can also enroll for any of our 80+ courses offering 1000+ hours of content for free.

greatlearning

this is best....much needed...one suggestion to GL that is to provide these notebooks in the description for all irrespective of enrollment to the course....thanks

rohitpradhan

Neural Networks! Expected video thanks GL

MSPRODUCTIONSFILM

I need deep knowledge in this topic plz do more videos on this topic with machine language.

maheshd-yy

How come with linear activation function using the non linear relu for gradient descent? In the begining of video

pradeepsingh-zupi

PLs again include AWS free tutorials on your free website page.

SandeepKumar-tmjx

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