Saturday, August 10, 2019

Deep Learning Professional Certificate Program (edX)


Formal education makes a living, but self-education makes a fortune,” - Jim Rohn

Professional Certificate in Deep Learning

https://www.edx.org/professional-certificate/ibm-deep-learning

Due to the heavy use of Data Science when working on Deep Learning, I've decided take an entirely different certification course first...
    ·         oDeep Learning Fundamentals with Keras
o   Prerequisites:
§  Python Programming.
·        See prerequisites of next section for more Python related courses
·         https://www.edx.org/course/python-basics-for-data-science-2 þ
§  Machine Learning with Python. 
§  Partial Derivatives. edX recommended Khan Academy.  I also traded a sushi dinner to my son for some tutoring, where I posted my notes here and here.
·         https://www.youtube.com/watch?v=AXqhWeUEtQU Introduction þ
·         https://www.youtube.com/watch?v=kdMep5GUOBw Formal definition þ
·         https://www.youtube.com/watch?v=dfvnCHqzK54 And Graphs þ

·         oDeep Learning with Python and PyTorch
o   Prerequisites.  Here I elect to use Pluralsight courses I deemed similar to the edX courses.
§  Python & Jupyter notebooks
·         Python
·         Jupyter notebook
§  Machine Learning concepts
§  Deep Learning concepts

·         oDeep Learning with Tensorflow  
o   Prerequisites:
§  Same prerequisites as previous course.

·        oUsing GPUs to Scale and Speed-up Deep Learning  
o   Prerequisites:
§  No prerequisites.

·         oApplied Deep Learning Capstone Project  
o   Prerequisites:
§  Completed all courses in the Deep Learning Professional Certification Program  o


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