Go-Deep-In-Deep-Learning

My parallel master degree in deep learning

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Go Deep In Deep Learning

I realize that I could start from scratch and go beyond the exam, becoming really confident in this field. So I prepared a plan for 2 years, taking the best online courses that I found from Coursera, Khan Academy, Google, fast.ai, Mit… following them during my study at university.

In the follows paragraphs I make available all my personal notes, all my solved questionnaires with relative scores (all with 100% but I covered my solutions to respect the honor code on Coursera) and a screenshot from each programming assignments.

You can have more details on my blog

Machine Learning by Andrew NG

This course is perfect for a beginner. Is the best introduction, it’s not required other particular skills (but if you need clarification on linear algebra or statistical I recommend you Khan Academy) and allow you to do a lot of practice. After this course, I have a full understanding of this topics and I’m able to implement them (but only in Matlab. Next step is to learn the more advanced topics and programming them in python).

My Certificate

Neural Networks for Machine Learning by Geoff Hinton

I realized that I was losing my time without increase my skills. Of course, I learned a lot of new things but i’m not able to replicate them in code, I think that 4 programming assignments in 16 weeks are too few and that the arguments must be explained in more details to have a full understanding of them. This course is not for beginners or intermediate students of machine learning. Most appropriate as an overview of the field by a master that experts and practitioners may find interesting.So i’m am un-enrolled after 8 weeks of 16.