Deep Learning with TensorFlow 2

Helping you learn and practice advanced deep learning techniques with TensorFlow 2.0 code and syntax. Complete with new TF2 exercises and projects.

with Iskren Vankov and Iliya Valchanov

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Course Overview

Machine and deep learning are some of those quantitative analysis skills that differentiate the data scientist from the other members of the team. Not to mention that the field of machine learning is the driving force of artificial intelligence. This course will teach you how to leverage deep learning and neural networks for the purposes of data science. The technology we employ is TensorFlow 2.0, which is the state-of-the-art deep learning framework.

83 High Quality Lessons
28 Practical Tasks
5 Hours of Video
Certificate of Achievement

Skills you will gain

machine learningmathematicsprogrammingpythontheory

What You'll Learn

This course will teach you the inner workings of deep neural networks with emphasis on the why and how of things. You will see the theory implemented in practice with the powerful framework TensorFlow 2.0.

Grasp the mathematics behind deep learning algorithms 
Understand backpropagation, stochastic gradient descent, batching 
Build ML algorithms from scratch in Python 
Carry out pre-processing, standardization, normalization, and one-hot encoding 
Grasp overfitting and combat it with early stopping 
Hands on experience with TensorFlow 2 


“If you need real world practice on how to use deep learning to optimize business performance, this is the course for you. I’ve made sure to give you plenty of opportunities to implement cutting edge optimizations, get hands on with TensorFlow 2 and even build your very own algorithm and put it through training!”

Iskren Vankov
Microsoft Research Award
Deep Learning with TensorFlow 2

with Iskren Vankov and Iliya Valchanov

Start Course