Everything about Artificial Neural Network from Basic to Adavnced

Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"

This pdf shows some methods to fine tune the hyperparameters of a Neural Network to increase it's performance. It also puts light on some of the common problems related to Neural Networks along with their solutions.

This repository is based on the discussion about the Vanishing Gradient Problem. It explains some of the causes of this issue and provides solutions to help mitigate it.

The vanishing gradient problem is a well-known issue in training recurrent neural networks (RNNs). It occurs when gradients (derivatives of the loss with respect to the network's parameters) become too small as they are backpropagated through the network during training.

Code repository for my CSU master's research on dead ReLU's

Machine Learning Glossary

Adaptive-saturated RNN: Remember more with less instability

Interactive Visual Machine Learning Demos.

Deep Neural Networks for music genre classification as a proxy for multiple analytical studies

First public project written in Python i guess, anyway this is a repository for my class CS115.N12.KHCL

This repository helps in understanding vanishing gradient problem with visualization

Machine Learning Practical - Coursework 2 Report: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.

I'll try to explain through the outcomes of Vanishing Gradient Problem

Multilayer Perceptron GAN, and two Convolutional Neural Network GANs for MNIST and CIFAR.

[EMNLP'20][Findings] Official Repository for the paper "Why and when should you pool? Analyzing Pooling in Recurrent Architectures."