Playground for trials, attempts and small projects.
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Updated
Jun 14, 2021 - Jupyter Notebook
Playground for trials, attempts and small projects.
This code implements neural network from scratch without using any library
Neural Network
Comapring different methods of weight initialization and optimizers using PyTorch
A PyTorch Implementation of DCGAN on a dataset of celebrity faces.
Deep Learning with TensorFlow Keras and PyTorch
Variance normalising pre-training of neural networks.
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?
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
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++
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.
FloydHub porting of deeplearning.ai course assignments
A module for making weights initialization easier in pytorch.
All the code files related to the deep learning course from PadhAI
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