https://github.com/felixmohr/deep-learning-with-python

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
https://github.com/felixmohr/deep-learning-with-python

dcgan deep-learning gan generative-adversarial-network lstm neural-networks python python3 style-transfer tensorflow tensorflow-tutorials vae variational-autoencoder

Last synced: about 2 months ago
JSON representation

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

• Host: GitHub
• URL: https://github.com/felixmohr/deep-learning-with-python
• Owner: FelixMohr
• Archived: true
• Created: 2017-10-20T12:02:19.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-05-18T07:05:17.000Z (over 6 years ago)
• Last Synced: 2024-09-26T21:02:43.334Z (about 2 months ago)
• Topics: dcgan, deep-learning, gan, generative-adversarial-network, lstm, neural-networks, python, python3, style-transfer, tensorflow, tensorflow-tutorials, vae, variational-autoencoder
• Language: Jupyter Notebook
• Homepage:
• Size: 10.7 KB
• Stars: 139
• Watchers: 14
• Forks: 106
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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README

        
# Deep Learning with Python

Here I will put some projects that I create while learning how to apply deep neural networks.

Current projects:

* Variational Autoencoder for creating MNIST characters (notebook with explanations)

* Deep Convolutional Generative Adversarial Network (DCGAN) for the same purpose (notebook with explanations)

* DCGAN for creating human faces

* Style Transfer