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

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

A module for making weights initialization easier in pytorch.

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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

Neural_Networks_From_Scratch

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

FloydHub porting of deeplearning.ai course assignments

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

Making a Deep Learning Framework with C++

RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review

Playground for trials, attempts and small projects.

This code implements neural network from scratch without using any library

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

Neural Network

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

Deep Learning with TensorFlow Keras and PyTorch

Data driven initialization for neural network models

Variance normalising pre-training of neural networks.

Why don't we initialize the weights of a neural network to zero?