Create and Visualize your first Convolutional Neural Network (CNN) in Python

Опубликовано: 01 Январь 1970
на канале: 650 AI Lab
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[For Absolute Beginners] If you are new to neural networks and always wanted to create your first Convolutional neural network (CNN) but could not get yourself started, this tutorial is exactly for you.

This tutorial is exactly created for absolute beginners who want to create their very first Convolutional neural network without consideration of math, or stats, or any machine learning knowledge. We have covered Convolution, Pooling, Flatten and Dropout with visual example for better impact and clear understanding.

We combine the power of network visualization and coding to make you understand deep learning fundamentals easily and effectively.

The content timeline is as below:
(00:00) Video Starts
(01:30) Previous Tutorials
(03:36) Tutorial Starts
(04:32) CNN Architecture
(09:36) Convolutional Layer
(20:18) Pooling
(28:05) Flatten
(31:45) Dropout
(35:12) Effect of Activation
(37:40) Network Visualization
(41:05) Real CNN in action (MNIST using Keras)
(48:52) Batch and Epochs
(54:34) Tutorial Source Code
(55:24) Content Recap


Jupyter notebook Source code:
https://github.com/prodramp/python-pr...

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Prodramp LLC | https://prodramp.com | @prodramp
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Content Creator: Avkash Chauhan (@avkashchauhan)
  / avkashchauhan  

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