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++

Playground for trials, attempts and small projects.

This code implements neural network from scratch without using any library

Neural Network

Variance normalising pre-training of neural networks.

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

Deep Learning with TensorFlow Keras and PyTorch

Data driven initialization for neural network models

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

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

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