Convolutional and Pooling Layers - Deep Learning with PyTorch 15

In this video we'll start to build out our Convolutional Neural Network with PyTorch and Python. We'll build the Convolution and Pooling layers in this video. We won't build the model just yet, but I'll walk you through the code to process one MNIST Image through the convolution and pooling layers. #pytorch #codemy #JohnElder Timecodes 0:00​​ - Introduction 1:24 - Create Train and Test DataLoaders 3:02 - Define Convolutional Layers 5:48 - Grab an MNIST Image 7:02 - Convert to 4D View 7:29 - Perform First Convolution 8:40 - Understand Padding 10:50 - Run Pooling Layer 13:00 - Run Second Convolutional Layer 14:58 - Run Second Pooling Layer 16:11 - Conclusion

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Convolutional Neural Network Model - Deep Learning with PyTorch 16
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