Course

Introduction to Neural Networks

The aim of the course is expanding knowledge and understanding of machine learning, neural networks using Python programming language and machine learning framework Tensorflow (and its complementary libraries).

Course content

1 hourIntroduction to machine learning1 hour

2 hoursPerceptron, Artificial neural network2 hours

2 hoursDeep learning, its principles2 hours

2.5 hoursConvolution neural network (CNN)2.5 hours

2.5 hoursRecurrent neural network (RNN)2.5 hours

Outcomes

After successfully completing this course you will be able to:

create a model trained using neural network to solve simple problems
understand how machine learning works
understand how neural networks works
understand how machine learning can used for solving problems that might require a lot of manual work

Certificate

We will issue an official certificate to confirm that you have successfully completed a course and are ready to kick-start your career in IT.

Everything is provided

In the beginning of the course, you will receive everything you need to start learning successfully.

Training led by experienced professionals

Receive both theoretical and practical knowledge from experienced professionals who are also passionate about teaching.

Opportunity to solve real-life problems

Gain experience in an environment where real-life challenges are presented and solved.