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.

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

Neural_Networks_From_Scratch

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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

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

FloydHub porting of deeplearning.ai course assignments

Making a Deep Learning Framework with C++

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

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

Comapring different methods of weight initialization and optimizers using PyTorch

This repo will describe the preparation process of deep learning weights before the training to capture essential information about data fed

Deep Learning with TensorFlow Keras and PyTorch

This repository showcases a structured and progressive approach to training a Convolutional Neural Network (CNN) for binary image classification (cats vs dogs).

Variance normalising pre-training of neural networks.

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

Neural Network

Data driven initialization for neural network models