https://github.com/ahmetfurkandemir/deep-learning-9-keras-tutorial-and-residual-networks

Deep Learning(9) - Keras tutorial, Residual Networks, ResNet50
https://github.com/ahmetfurkandemir/deep-learning-9-keras-tutorial-and-residual-networks

Last synced: 6 months ago
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Deep Learning(9) - Keras tutorial, Residual Networks, ResNet50

• Host: GitHub
• URL: https://github.com/ahmetfurkandemir/deep-learning-9-keras-tutorial-and-residual-networks
• Owner: AhmetFurkanDEMIR
• Created: 2020-09-15T10:46:25.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-09-15T11:48:57.000Z (about 5 years ago)
• Last Synced: 2025-04-15T21:52:24.633Z (6 months ago)
• Language: Jupyter Notebook
• Size: 24.6 MB
• Stars: 15
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Keras Tutorial and Residual Networks

![k](https://miro.medium.com/max/1200/1*wwnExqe720PPHykHhs5Hqw.png)

* In the folder named Keras_tutorial, we are making a quick start of keras. We learn a number of operations such as creating layers, adding layers, compiling and training the model.

![1*YQgpwj-Wde7r8bFqXy2ruw](https://user-images.githubusercontent.com/54184905/93206382-fc991280-f761-11ea-96c1-4f1dc6cbb2e0.png)

* In the folder named Residual_Networks, we are developing models with ResNet50 network. We will learn about the Residual Networks logic and what it does for us.

* References : Convolutional Neural Networks - https://www.coursera.org/learn/convolutional-neural-networks