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Study and implementation about deep learning models, architectures, applications and frameworks

Jupyter Notebook 88.68% Mathematica 0.01% Dockerfile 0.01% Python 0.20% HTML 11.10%

deep-learning's Introduction

Deep Learning

The purpose of this repo is to contain a lot of code and resources about deep learning algorithms, frameworks, and models.

Architectures

In this folder, you'll find the implementation of well-known deep learning architectures in Keras

  • VGG-16
  • VGG-19
  • ResNet-50
  • MobileNet
  • Inception

Frameworks

  • Tensorflow
  • Keras
  • Tensorboard
  • TFLearn
  • PyTorch

deep-learning's People

Contributors

arnaldog12 avatar diegguinholima avatar

Watchers

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