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.

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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

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

Making a Deep Learning Framework with C++

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.

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.

Comapring different methods of weight initialization and optimizers using PyTorch