Deep Learning

Audience: People who have knowledge in Python programming.

Objectives: At the end of the course, the participant will be able to work with algorithms for Neural Networks

Prerequisites: People who have knowledge in Python programming. An understanding of Python libraries in general.

Method: Local supervisor with trainer in remote

Language: English

Duration: 24 hours

Program

1 What is Deep Learning?

2 Tensorflow & Keras for Deep Learning

3 Working with Tflearn

4 Convolutional Neural Networks

5 Working with keras for CNN

6 Recurrent and Recursive Nets

7 Recursive Neural Networks

8 Autoencoders

9 Practical Methodology

10 Restricted Boltzmann Machines (RBM)

11 Deep Belief Networks

12 Case Study and Porject