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- Multilayered Network Model
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Classroom Contents
Adding Layers and Forward Functions to Your Neural Network in PyTorch
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- 1 - Workshop #2 Introduction
- 2 - Topics in Workshop #2
- 3 - What you will learn in this workshop?
- 4 - RECAP from Workshop #1
- 5 - Workshop #2 Kickoff
- 6 - Using nn.Module in Python
- 7 - Defining base neural network model
- 8 - Design of your neural network class
- 9 - Neural network class based on data input
- 10 - Neural network shape
- 11 - Model and Data Integration
- 12 - Network with input and output layer
- 13 - Network with 1 hidden layer
- 14 - Network with multiple hidden layers
- 15 - Multilayered Network Model
- 16 - Role of Forward function in network
- 17 - CNN Explorer Intro
- 18 - Complex Forward Function
- 19 - Heart Disease Problem network model
- 20 - . MNIST digits recognition problem model
- 21 - nn.Parameters in PyTorch
- 22 - Your Homework
- 23 - Push notebook to GitHub
- 24 - RECAP
- 25 - Workshop #3 Agenda
