“Formal education makes a living, but self-education makes a fortune,” - Jim Rohn
Due to the heavy use of Data Science when working on Deep Learning, I've decided take an entirely different certification course first...
Professional Certificate in Deep Learning
https://www.edx.org/professional-certificate/ibm-deep-learningDue 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
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Prerequisites:
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Python Programming.
· https://www.edx.org/course/python-basics-for-data-science-2 þ
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Machine Learning with Python.
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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.
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https://www.youtube.com/watch?v=AXqhWeUEtQU
Introduction þ
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https://www.youtube.com/watch?v=kdMep5GUOBw
Formal definition þ
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https://www.youtube.com/watch?v=dfvnCHqzK54
And Graphs þ
· oDeep Learning with Python and PyTorch
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Prerequisites. Here I elect to use Pluralsight courses I deemed similar to the edX courses.
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Python & Jupyter notebooks
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Python
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Jupyter notebook
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Machine Learning concepts
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Deep Learning concepts
· oDeep Learning with Tensorflow
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Prerequisites:
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Same prerequisites as previous course.
· oUsing GPUs to Scale and Speed-up Deep Learning
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Prerequisites:
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No prerequisites.
· oApplied Deep Learning Capstone Project
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Prerequisites:
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Completed all courses in the Deep Learning
Professional Certification Program o
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