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Production Deep Learning with TensorFlow 2.0

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by DataRoot Labs

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

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Overview

This 20 weeks Tensorflow 2.0 program will give you in-depth knowledge of Deep Learning techniques and the ability to implement production models in order for thousands of users can use it. Tensorflow 2.0 is currently the best production framework. You will gain knowledge on the best computer vision and language model approaches. We will guide through all the production deep learning techniques and familiarise you with the GCP platform to serve the models. After completion, you'll be able to apply on the Deep Learning Engineer 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 learn Deep Learning concepts and apply the knowledge in the production.

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 Tensorflow 2.0

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Convolutional Neural Networks

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Recurrent Neural Networks

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Autoencoders

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Tensorflow Distributed

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Generative Models

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Production models with Tensorflow Serving & Docker

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In-Browser and Mobile models with Tensorflow JS and Tensorflow Lite

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TensorFlow on Google Cloud Platform

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Final Project


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