All the code files related to the deep learning course from PadhAI

A module for making weights initialization easier in pytorch.

FloydHub porting of deeplearning.ai course assignments

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

Neural_Networks_From_Scratch

A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

Use ML-FLOW and TensorFlow2.0(Keras) to record all the experiments on the Fashion MNIST dataset.

How weight initialization affects forward and backward passes of a deep neural network

Making a Deep Learning Framework with C++

MachineLearningCurves is a collection of abstract papers, insights, and research notes focusing on various topics in machine learning.

Neural Network

Playground for trials, attempts and small projects.

This code implements neural network from scratch without using any library

Deep Learning with TensorFlow Keras and PyTorch

Data driven initialization for neural network models

Variance normalising pre-training of neural networks.

Neural Networks: Zero to Hero. I completed the tutorial series by Andrej Karpathy

Excel file and Python code used in the published SLR paper: RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review

Comapring different methods of weight initialization and optimizers using PyTorch