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Neural Networks
Introduction to the Course
Floating Point Numbers
Regression
Gradient Descent
Stochastic Gradient Descent
Introduction to Pytorch & Neural Networks
Neural Networks for Classification
Regularization and Dropout in Neural Networks
Introduction to Convolutional Neural Networks
Advanced Convolutional Neural Networks
Advanced Deep Learning
Appendix A: Gradients Review
Appendix B: Logistic Loss
Appendix C: Computing Derivatives
Appendix D: Basics of Numpy and Tensors
Appendix E: Auto Differentiation
Appendix F: Optimization
Appendix G: Creating a CNN to Predict Bitmojis
Transposed Convolution
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