In this video we'll build the model for our Convolutional Neural Network in Pytorch with Python.
In the last video we walked thru the steps that the model will take.
In this video we'll put all those steps together into the actual Model.
#pytorch #codemy #JohnElder
Timecodes
0:00 - Introduction
1:00 - Define The Model
2:03 - Define Convolutional Layers
3:10 - Define Fully Connected Layers
5:10 - Create Forward Function
6:21 - Add Pooling
7:10 - Flatten Data
7:47 - Add Fully Connected Layers To Forward Function
8:44 - Return Everything
9:03 - Create Instance of Model
10:20 - Loss Function Optimizer
11:41 - Conclusion
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