Tutorial on Deep Learning for Image Classification

We will be providing a Hands on Tutorial on Deep Learning for Image Classification, aiming to present how to implement some basic methods using frameworks such as Tensorflow and Keras. If desired, you may be able to follow the tutorial by implementing the proposed methods using your own personal laptops (with or without Nvidia GPU).

Our tutorial will be implemented in Python (>=3.5) and the required packages can be installed using the pip package manager. The following command can be used to install the dependencies, after downloading the requirements.txt file, on Linux (Ubuntu >=16.04) or macOS:

sudo pip3 install -r requirements.txt

The dataset for trying out your code will be provided during the tutorial. Please install the pip package manager, the dependencies, and get yourself familiarized with the Jupyter Notebook framework prior to the workshop, by reading the instructions for the latter here: