Jupyter Notebook Code for MXNet Deep Learning Framework Study
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Updated
Aug 5, 2017 - Jupyter Notebook
Jupyter Notebook Code for MXNet Deep Learning Framework Study
Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳
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Deep Learning projects using Apache MXNet. Covers basics and advanced concepts of deep learning using a series of IPython notebooks.
This repository contains all the assignment notebooks of the course, AWS Computer Vision: Getting Started with GluonCV.
Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch.
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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