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Introduction to the Course
Regression
Gradient Descent
Stochastic Gradient Descent
Introduction to Pytorch & Neural Networks
Neural Networks for Classification
Regularization and Dropout in Neural Networks
Introduction to 1D Convolutional Neural Networks
Introduction to Convolutional Neural Networks
Advanced Convolutional Neural Networks
Advanced Deep Learning
Word2Vec: Learning Meaning from Context
Graph Node Representations with DeepWalk
Physics-Informed Neural Networks (PINNs)
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
Appendix H: Transposed Convolution
Appendix I: Floating Point Numbers
Home Works
- Exercise: Learning and Inverting Image Filters with CNNs
- Exercise: Modeling a Harmonic Oscillator with MLP and GAN

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By Mahmood Amintoosi