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 is an organization supported by SAMCS MIPT and Lab of Innovation (MIPT).
The purpose of our courses is to introduce students to the basic principles of Deep Learning and 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 (e.g. Google Photo) and natural language processing (e.g. Alexa).
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
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Basics
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Data Science libraries
Machine Learning Basics
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Metric-based algorithms
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Linear models
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Perceptron
Tools
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Jupyter
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Google Colaboratory
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Deep Learning Frameworks
Multi-Layered Networks
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Neuron
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Fully Connected Networks
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Multi Layered Perceptron
Math
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Linear Algebra
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Optimization Theory
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Computational Mathematics
Convolutional Networks
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Image classification
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Neural Image segmentation
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Object detection
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Style transfer
Course info
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Online
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Lecture, workshop and hometask every week
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Course materials and grading process are provided with Stepik (free educational platform)
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24/7 support by our teaching assistants
Stay in touch!
Our contact e-mail: dlphystech@gmail.com
Check our VK group, YouTube-channel and Github-repo:
Any questions left?
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