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Which crash course on Tensorflow in 2018 can you recommend?
Good afternoon!
Googling several courses and did not find a course for myself. More than half of many contain the basics of programming and python + the basics of mathematics (statistics, matrix algebra) + how to install it in different operating systems. In the rest:
90% - neural networks, and 10% the rest (linear and polynomial regression, various other classifiers).
Can you tell me a course with a minimum of "water" (python control structures, matrix operations), ideally containing
ipynb-notebooks / program code in terms of:
Structure and data types for TF + general skeleton of organizing work
Different types of regressions on training examples
Different types of classifications on case studies
Clustering
, etc.
All in the form of 2-3 notebooks with sane comments.
PS It is possible in English and without video. You can even for a sane money (10-50USD + -)
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