AI is the new electricity. Just as 100 years ago electricity transformed industry after industry, AI will now do the same.

Andrew Ng, 

co-founder of Coursera,

an Adjunct Professor at Stanford University

   Deep Learning School -- organization supported by PSAMI MIPT and Lab of Innovation (MIPT).

The purpose of our courses is to acquaint students with the basic principles of deep learning (neural networks) in an interactive format and with practical tasks.

Why neural networks?

Almost all services of such large companies as Google, Yandex, Facebook, Microsoft use neural networks for their work. Why? Because they are extremely effective in tasks related to computer vision (for example, Google Photo) and natural language processing (for example, Yandex.Alice).

Who is this course for

We are doing our best to create accessible and understandable tutorials, so anyone with basic technical background can attempt to pass the course.

Things you will learn

Python
  • Basics
  • Data Science libraries
Machine Learning Basics
  • Metric-based algorithms
  • Linear models
  • Perceptron
Tools
  • Jupyter
  • Google Colaboratory
  • Deep Learning Frameworks
Multi-Layered Networks
  • Neuron
  • Fully Connected Networks
  • Multi Layered Perceptron
Math
  • Linear Algebra
  • Optimization Theory
  • Computational Mathematics
Convolutional Networks
  • Image classification
  • Neural Image segmentation
  • Object detection
  • Style transfer

Course info

  • Online 
     

  • Lecture, workshop and hometask every week
     

  • Course materials and grading process are provided with Canvas (free educational platform)
     

  • 24/7 support by our teaching assistants

You can learn more about PSAMI MIPT here:

Enroll

 

We need your full name and e-mail to send the invite to Canvas and Slack chat.

Invites will be sent before the start of the course (April, 2019).

Enrollment deadline is on March 31, 2019.

By clicking on the button you consent to the processing of personal data.

 
 

Stay with us!

Our contact e-mail: dlphystech@gmail.com

Check our VK group, YouTube-channel and Github-repo:

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Have questions?

 

 

Supported by

Центр НТИ на базе МФТИ

по направлению

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