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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
Deep Learning with TensorFlow Keras and PyTorch
Neural Network
Comapring different methods of weight initialization and optimizers using PyTorch
Why don't we initialize the weights of a neural network to zero?
Playground for trials, attempts and small projects.
Variance normalising pre-training of neural networks.
Neural Networks: Zero to Hero. I completed the tutorial series by Andrej Karpathy
Use ML-FLOW and TensorFlow2.0(Keras) to record all the experiments on the Fashion MNIST dataset.
A PyTorch Implementation of DCGAN on a dataset of celebrity faces.
This code implements neural network from scratch without using any library