This project focuses on using Convolutional Neural Networks (CNNs) to classify food images from the Food-11 dataset.

This project will observe 4 different choice of hyperparameter on their effect to CNN with ReLU and SELU as activation function

Deep Learning concepts practice using Cifar-10 dataset

Deep Learning concepts practice using Cifar-10 dataset

Nineteenth Century Studies journal website

"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "

🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.

A DCGAN implementing all the tricks from recent papers up to 2020 and from all over the internet. Trained on CelebA at 157x128. "GAN Hacks 2", if you will.

Interesting python codes to tackle simple machine/deep learning tasks

MXNet for CTR

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.