Course Registration for Deep Learning

10 Sessions in total

Session 1. Neural network--basic building blocks and coding practice (3 hours)

Session 2. Feedforward Neural Network (FFNN) and coding study (3 hours)

Session 3. Recurrent Neural Network (RNN): part I and coding practice (3 hours)

Session 4. Recurrent Neural Network (RNN): part II, language modeling and coding practice (3 hours)

Session 5. Convolutional Neural Network (CNN): part I: basic theory (3 hours)

Session 6. Convolutional Neural Network (CNN): part II: image processing (3 hours)

Session 7. Convolutional Neural Network (CNN): part III: image processing (3 hours)

Session 8. Unsupervised Neural Network (3 hours)

Session 9. Deep learning case studies (I) (3 hours)

Session 10. Deep Learning case studies (II) (3 hours)

Time: 10 AM - 1 PM (3 hours) on Saturdays from April 6th, 2019.

Location: 6380 Rue Sherbrooke West, Montreal, QC, H4B 1N1 (CJE-NDG)

Location: 6380 Rue Sherbrooke West, Montreal, QC, H4B 1N1 (CJE-NDG)

Email *

Your answer

Given/First Name *

Your answer

Family/Last Name *

Your answer

Do you have deep learning/machine learning knowledge or experience? *

No

Yes, but very basic

Intermediate level

Advanced level

What is your Python programming level? *

No

Yes, but very basic

Intermediate level

Advanced level

What do you expect from this course *

Get to know basic ideas of how machine learning / deep learning works

I am looking for jobs related to DS/ML/DL

know about the cutting-edge applications in machine learning in different businesses

how to code in machine learning and where to start

Required

How do you expect to learning? *

I want to know how to code in deep learning

I want to understand how to relate deep learning theory to practice

I want to learn how to use cutting-edge platform for deep learning

Required