Start learning practical Deep Learning today!

01: Getting started with Pytorch

Defining and training a Pytorch model and visualizing the results dynamically

02: Introduction to Classification Problems using PyTorch

Classifying flowers with Neural Networks, visualizing decision boundaries and understanding overfitting

03: Potato Classification using Convolutional Neural Networks

Creating a CNN model in PyTorch and training it to identify types of potatos using fastai2 to make the code simple

04: Time Series Multi-Step Forecasting

Creating and Training a 1D Convolutional Neural Network to predict multiple future time-steps of a Chaotic Time Series generated with Mackey-Glass equation

05: Image segmentation with U-Net Models

A simple introduction to image segmentation for practical Deep Learning