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The opinions expressed herein are my own personal opinions and do not represent my employer's view in any way.

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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