https://github.com/ahmetfurkandemir/deep-learning-8-convolutional-neural-network

Deep Learning(8) - Convolutional Neural Network, Padding, Strided, FC(Dense)
https://github.com/ahmetfurkandemir/deep-learning-8-convolutional-neural-network

Last synced: 6 months ago
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Deep Learning(8) - Convolutional Neural Network, Padding, Strided, FC(Dense)

• Host: GitHub
• URL: https://github.com/ahmetfurkandemir/deep-learning-8-convolutional-neural-network
• Owner: AhmetFurkanDEMIR
• Created: 2020-09-08T08:02:57.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-09-08T08:29:12.000Z (about 5 years ago)
• Last Synced: 2025-04-15T21:52:19.673Z (6 months ago)
• Language: Jupyter Notebook
• Size: 20.6 MB
• Stars: 14
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Convolutional Neural Network

![asd](images/Convolution_schematic.gif)

* **datasets** : SIGNS dataset, SIGNS dataset is a collection of 6 signs representing numbers from 0 to 5.

* **Convolution_model_Step_by_Step.ipynb** : In this notebook you will learn about Padding, strided, Pooling layer, forward propagation and back propagation.

* **Convolution_model_Application.ipynb** : In this notebook, we designed and trained a CNN model with Tensorflow. While creating the model, we will use what we learned from the notebook "Convolution_model_Step_by_Step.ipynb".

     

     * Create placeholders

           

     * Initialize parameters

           

     * Forward propagation

           

     * Compute cost

           

     * Model

           

     * Training

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