Skip to content

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

Notifications You must be signed in to change notification settings

WilliamAshbee/Deep-Learning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

46 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 88.7%
  • HTML 11.1%
  • Other 0.2%