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Practical Deep Learning with PyTorch

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by DataRoot Labs

A Product company founded in 2016 with offices in Kyiv, Ukraine.

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Overview

This 17 weeks Deep Learning program will give you in-depth knowledge of Deep Learning techniques and the ability to implement, evaluate and analyze the latest research approaches. We will guide you through Deep Learning techniques from the beginning to the edge latest research. After completion, you'll be able to apply on the Deep Learning Researcher position on dHired platform. A list of recommended jobs is present below. Remember, only the best ones will get a job.

Target audience

This program is for those who already familiar with Machine Learning and want's to make the path into research or academic field.

Mentors
Ivan Didur
Ivan Didur
CTO @ DRL, Kami Computing
Joshua Reuben
Joshua Reuben
System Architect @ Kami computing

Course syllabus
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Introduction to Deep Learning

First of all, you'll be guided through theoretical and practical foundations behind Deep learning. You get more intuition on why Deep Learning is a sub-field of machine learning dealing with algorithms inspired by the structure and function of the brain called artificial neural networks.

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Deep Neural Networks

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Introduction to Pytorch

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Convolutional Neural Networks

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Recurrent Neural Networks

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Autoencoders

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Be Fast == Be Distributed

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Generative Models

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Production models with TorchScript

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Attention & Transformers

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Final Project


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