Tel-Aviv Deep Learning Bootcamp is an intensive (and free!) 5-day program intended to teach you all about deep learning. It is nonprofit focused on advancing data science education and fostering entrepreneurship. The Bootcamp is a prominent venue for graduate students, researchers, and data science professionals. It offers a chance to study the essential and innovative aspects of deep learning.
Participation is via a donation to the A.L.S ASSOCIATION for promoting research of the Amyotrophic Lateral Sclerosis (ALS) disease.
The Bootcamp amalgamates “Theory” and “Practice” – identifying that a deep learning scientist desires a survey of concepts combined with a strong application of practical techniques through labs. Primarily, the foundational material and tools of the Data Science practitioner are presented via Sk-Learn. Topics continue rapidly into exploratory data analysis and classical machine learning, where the data is organized, characterized, and manipulated. From day two, the students move from engineered models into 4 days of Deep Learning.
The Bootcamp consists of the following folders and files:
day 01: Practical machine learning with Python and sk-learn pipelines
day 02 PyTORCH and PyCUDA: Neural networks using the GPU, PyCUDA, PyTorch and Matlab
day 03: Applied Deep Learning in Python
day 04: Convolutional Neural Networks using Keras
day 05: Applied Deep Reinforcement Learning in Python
docker: a GPU based docker system for the bootcamp
Click to view the full CURRICULUM : http://deep-ml.com/assets/5daydeep/#/3/1
For a docker based system See https://github.com/QuantScientist/Data-Science-ArrayFire-GPU/tree/master/docker
%%bash jupyter nbconvert \ --to=slides \ --reveal-prefix=https://cdnjs.cloudflare.com/ajax/libs/reveal.js/3.2.0/ \ --output=py05.html \ './05 PyTorch Automatic differentiation.ipynb'
This project has been realised with PyCharm by JetBrains
Shlomo Kashani/ @QuantScientist and many more.