https://github.com/ivanbongiorni/tensorflow_tutorial

Contains several implementations of Deep Learning models based on pure TensorFlow - no Keras
https://github.com/ivanbongiorni/tensorflow_tutorial

Last synced: 14 days ago
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Contains several implementations of Deep Learning models based on pure TensorFlow - no Keras

• Host: GitHub
• URL: https://github.com/ivanbongiorni/tensorflow_tutorial
• Owner: IvanBongiorni
• License: mit
• Created: 2019-02-14T20:58:36.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-02-26T11:20:50.000Z (over 5 years ago)
• Last Synced: 2024-10-10T17:22:55.928Z (27 days ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 599 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Author: Ivan Bongiorni, Data Scientist at GfK; [LinkedIn](https://www.linkedin.com/in/ivan-bongiorni-b8a583164/).

# TensorFlow Tutorial

Welcome to my TensorFlow tutorial.

This repository contains several implementations of Deep Learning models based on pure TensorFlow - no Keras here, just plain TensorFlow code.

## Contents:

- **TensorFlow_1_Classification_BatchGD**:      implementation of a Deep Neural Network with simple Gradient Descent optimization.

- **TensorFlow_2_Classification_MiniBatchGD**:  new version of the previous network, with implementation of Mini-Batch Gradient Descent.

-  	**TensorFlow_3_Autoencoder_Dimensionality_Reduction**:  how to reduce the dimensionality of a dataset with a stacked Autoencoder.

## Coming Soon:

- How to save and restore TensorFlow models.

- Regression tasks

- Convolutional Neural Networks