Introduction to Tensorflow - Barcelona - Free

This course will cover the fundamental usage of the Tensorflow library for deep learning research. We aim to help students understand the graphical computational model of Tensorflow, explore the functions it has to offer, and learn how to build and structure models best suited for machine learning projects. Through the course, students will use Tensorflow to build simple models.

More info... (https://goo.gl/fhz7wc)

YOU MUST BRING YOUR LAPTOP!

Syllabus

• What’s Tensorflow? - Why TensorFlow?

• Getting started with one-liner Tensorflow?

• Data Flow Graph

• Fun with TensorBoard

• Constant types - Math Operations - Data Types - Variables

• InteractiveSession

• Control Dependencies

• Placeholders and feed_dict

• Lazy loading

• Linear and Logistic Regression in TensorFlow

Instructor
Albert Climent
B.S. in Physics and M.S. in Automatic Control and Robotics
Data Scientist at Pervasive Technologies

Prerequisites

• Proficiency in Python.

• All class code will be in Python. If you have a lot of programming experience but in a different language (e.g. C/C++/Matlab/Javascript), you will probably be fine.

• Equivalent knowledge of Machine Learning

• We will not ask you to take derivatives or build your own optimizers, but you should know what they are and how to use them.

• Basic Theoretical Understanding of Neural Networks. This course focuses more on the practical usage of Tensorflow in simple projects, therefore you can benefit more from the course if you already have basic understanding of neural networks.

Sponsors

https://secure.meetupstatic.com/photos/event/2/3/3/b/600_460689019.jpeg