ioanniskansizoglou/deeplectures

Lectures on Deep Learning for Robotic Vision, Democritus University of Thrace

Robotic Vision - Deep Learning

Laboratory of Robotics & Automation
Kansizoglou Ioannis, PhD Candidate
[email protected]

• Slides of 1st lecture can be found inside Lecture1 folder in .pdf (choose Download) and .html (local save with Ctrl+S, internet required) format. Whoever is interested in exploring the code about training example, the installation of jupyter notebook is required. Firstly, download and install the Anaconda environment from the official site. Afterwards, save Lecture1.ipynb and functions.py files in a common folder and open the first using jupyter notebook. (## .ipynb file is under evaluation ##)

• Slides of 2nd Lecture can be found inside Lecture2 folder in .pdf and .ipynb format (choose Download). There is no code or .gif included so pdf covers complete this lecture.

• Also Assignment_2 has been uploaded in e-class. As described, you will develop your architectures using the example.zip file found here.

HOW TO USE GITHUB (WINDOWS):

1. GitHub is a free online space where everyone can share and/or use other's codes through repositories.
2. In the homepage of current repository we can download the entire DeepLectures folder in .zip format choosing the green frame saying Clone or Download and then Download ZIP.
3. In case we like to download a specific file we work differently. For .pdf and .ipynb files, open them with left click and then simply choose Download. For .html and .py files, open them and select Raw using left click. Then a new tab opens and with right click inside this tab choose 'Save as' (alternatively Ctrl+S). When saving it, pay attention to keep .html or .py format respectively.