Mini-Projects

Following mini-projects cover my journey through some excellent resources I’ve learned so much from:

PyTorch: Step by Step books (3 of them) by Daniel Voigt Godoy
Deep Learning course by Yann LeCun & Alfredo Canziani
Practical Deep Learning for Coders course by Jeremy Howard.

Image Regression

Biwi Kinect Head Pose dataset

Multi-label classification

PASCAL 2007 dataset

Pet Breed Classification

Multi-class classification using FastAI

Kubernets

On Linode Kubernets Engine (LKE)

Bear classifier

Using FastAI

Labeling

Using LabelMe

Transfer learning

Using pre-trained AlexNet

Rock paper scissors

Multiclass image classification

Multiclass image classification

On a simple image dataset

Torchvision, Conversions, Samplers

On conversions and transforms

Binary image classification

On a simple image dataset

Binary Classification

On Scikit-Learn’s make_moons

Quadratic function fitting

Using deep learning

Linear Regression

Using deep learning