weight-initialization

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.

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

Neural_Networks_From_Scratch

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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

Making a Deep Learning Framework with C++

FloydHub porting of deeplearning.ai course assignments

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

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

Comapring different methods of weight initialization and optimizers using PyTorch

Interactive demos of neural network weight initialization.

Mathematical and empirical investigations of neural network optimization, activation functions, and weight initialization

Focused on neural network generalization and training dynamics through bias–variance, regularization, normalization, initialization, and optimization techniques.

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

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

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

He initialisation and dropout with ReLU activations on a custom dataset.