Organizers: Timothy Gebhard ([email protected]) Prof. Dr. S. Quanz (Homepage) Umberto Michelucci ([email protected])
This repository contains the material for the workshop held at ETH (Zürich) on the 22nd January 2020.
The material is based on the two books:
Applied Deep Learning - A Case-Based Approach to Understanding Deep Neural Networks By Umberto Michelucci -- Book webpage
Advanced Applied Deep Learning - Convolutional Neural Networks and Object Detection By Umberto Michelucci -- Book webpage
The material shown in the slides can be found in the two books with much more details and explanation.
Slides are available as google slides and can be accessed at the following links
Chalk Talk Neural Networks: https://docs.google.com/presentation/d/1MyUj3224opjqwJF1P40EUuRjcQIsgRMApWtWUeqP4b8/edit?usp=sharing
Introduction to TensorFlow 2.0: https://docs.google.com/presentation/d/14SnqX70ZDwwP_texk3r2wJMBLWW3ZaiQolQo8KoHtxs/edit?usp=sharing
Advanced Topics: https://docs.google.com/presentation/d/1kn6pKhGxydb3_mos5ksQ4uGBj0S5b9Tdzvf1MbJV6X8/edit?usp=sharing
Chalk Talk Convolutional Neural Networks: https://docs.google.com/presentation/d/1nWEzUPHgouG8c0uY_CSLMhsqfP84QDFdmTeR_0EaeSI/edit?usp=sharing
(C) 2020 Umberto Michelucci, www.toelt.ai
All the hands-on Jupyter notebooks can be run on Google Colab, so no need to install anything locally on your laptop. Simply click on the links below and try the notebooks.
First Fully Connected Network with Keras: https://colab.research.google.com/drive/1TH8CPLwHeYZ5Fd-BLYm9NCeDYcqvSDa6
First example of CNN with Keras: https://colab.research.google.com/drive/1JMadgcCdcvpvfxH2eWnYnu99R-uW6qUg
Image classification with TF Hub: https://colab.research.google.com/drive/1pDmpZrGQuymnLkE_eTE-CHtjb39mQ5QB
Keras functional API with TF 2.0: https://colab.research.google.com/drive/1xZxbHAzbr53OxFcHMAjOZlfv7_jyntzy
MNIST Classification with TF2.0: https://colab.research.google.com/drive/14OoNrvzPQhWiKBMr60Ab8soavE9NATIp
Pre-trained models with Keras: https://colab.research.google.com/drive/1oTdXeEriPdSVFC5v0qjEhbIEJP_zszXg
Transfer Learning with Keras: https://colab.research.google.com/drive/1XRcr2v2HFD8AV5GFNP0fxutHtqGdV61a
Neural Style Transfer with Keras: https://colab.research.google.com/drive/11Cc3oyFRefWToDq021SkSOI7JA24KfMU