11- How to code a CNN using Pytorch! скачать в хорошем качестве

11- How to code a CNN using Pytorch!

📢📢📢 Finally!!! Today we see how we can code a CNN using Pytorch. We will define Convolutional Layers and define the forward pass. the backpropagation takes care of itself, so don't worry! 🎉🎉🎉 ------------------------------------------------------------------------------------------------------------------ 00:32 Importing necessary packages 01:56 Define the CNN class: Inheritence from nn.module 03:12 Define the CNN class: Using the super() command in _init_ 05:14 Defining Convolutional layers INDIVIDUALLY as instance variables 06:45 BETTER WAY of defining Convolutional and non-linearity layers as a nn.Sequential() object 16:20 Defining the classifier on top of the convolutional layers 21:23 Over-riding the forward() method, which handles the forward propagation in the CNN 26:07 What will we do in the next video? ------------------------------------------------------------------------------------------------------------------- 🔴 The GitHub loink to the project: https://github.com/MLDawn/MLDawn-Proj... 🌎 You can visit our Website: https://www.mldawn.com/ 🕊 You can follow us on Twitter:   / mldawn2018   🔗 You can join us on Linked In:   / mehran-bazargani-14b352176   🔗 You can join us on Facebook:   / ml.dawn.3   Keep up the good work and good luck! 🤞🍀