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I am currently working on developing this repository. This repository includes folders including codes for separate deep learning frameworks/API.

Python 4.38% Jupyter Notebook 90.15% HTML 0.01% TeX 5.45%
deep-learning machine-learning pytorch tensorflow2 scikit-learn backpropagation loss-functions optimization convolutional-neural-networks

deep-learning's Introduction

Deep-learning

I am currently working on developing this repository. It will include python codes and jupyter notyebooks to better understand deep learning models. You can go over an amazing youtube series: Deep Learning for Computer Vision by Justin Johnson link to get in depth knowledge and better understanding regarding Deep Learning.

Tensorflow-2.0

This repository gives a brief introduction on how to use latest version of Tensorflow 2.0 (Deep learning framework) to build up neural networks.

PyTorch

This repository gives a brief introduction on PyTorch (Deep Learning framework) and some basic codes examples to start building Neural network from scratch

Scikit-learn

This repository gives an introduction and some basics on how to use Scikit learn API to build neural network

Image-Segmentation-using-Pixellib

This repository runs pixel-wise image segmentation on images and forms masks on the objects detected with certain accuracies

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