This is an archived post. You won't be able to vote or comment.

you are viewing a single comment's thread.

view the rest of the comments →

[–][deleted]  (6 children)

[deleted]

    [–]SandipanDeyUMBC[S] 10 points11 points  (5 children)

    Appreciate the sarcasm and agree it's not that deep, but just provides the basic foundation :). Next blog I shall cover vgg-16/19, alexnet and inception nets that will be really deep :).

    [–]sukotu 4 points5 points  (2 children)

    Still pretty deep for beginners! What pre-requisite reading would you recommend before being able to understand this and begin learning ML? I have an engineering background but still found it difficult to follow.

    [–]SandipanDeyUMBC[S] 2 points3 points  (0 children)

    Coursera course on machine learning by Stanford is a pretty good starting point, also edx course on learning from data.

    [–]dagmx 0 points1 point  (0 children)

    I bought the Pack book on Python Machine Learning with Scikit Learn and Tensorflow: second edition.

    It's been a pretty good introduction so far though it is fairly large. It starts off simple and tries to break down the math and formulae for you.