2020

Stochastic Gradient Descent, Part IV, Experimenting with sinusoidal case
Stochastic Gradient Descent, Part III, Fitting linear, quadratic and sinusoidal data using a neural network and SGD
Stochastic Gradient Descent, Part II, Fitting linear, quadratic and sinusoidal data using a neural network and GD
FastAI Course, Part III, Frustrations with creating an image classifier
FastAI Course, Part II, Lesson 1 and sentiment analysis
Increasing the resolution of an image using an SRGAN
FastAI Course, Part I, Lessons 1 and 2
Neural Networks, Part II, First MNIST model
Neural Networks, Part I, Basic network from scratch