Why This Workshop?

Deep learning is widely used in business intelligence, autonomous robotics, natural language processing, social networks, bioinformatics and many other fields.

TensorFlow is developed by Google and is very popular in data mining, machine learning and especially deep learning.

TensorFlow jobs as a percentage of all IT jobs (itjobswatch.co.uk)

Theory + Practice: This workshop includes theory and programming class, as well as extensive hands-on exercises and problem solving session.

Official degree is issued by Sharif University of Technology upon successful completion of the programming exercises.

Workshop Program

Day 1

8:00-12:00:

Basic concepts

TensorFlow programming

12:00-1:00:

Break

1:00-6:00:

Deep learning concepts

Deep learning examples in TensorFlow:

Deep neural networks (DNN)

Convolutional neural networks (CNN)

Recurrent neural networks (RNN)

Long short-term memory (LSTM)

Day 2

8:00-13:00:

Extensive hands-on programming exercises on powerful GPU server

Discuss your own project

Pre-requisits: Python (loop, if, list, function), machine learning (basic concepts of train/test, classification, cost function).
You need to bring a laptop.

Registration

Non-Students: 585 T

Students: 385 T

Workshop Date: 97/12/16-17
Registration Deadline: 97/12/12

Registration includes: Official degree from Sharif University of Technology, 9 hours of class, 5 hours of programming exercises and problem solving session, workshop notes with all TensorFlow codes discussed in class, installed software and access to powerfull GPU server.