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Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)

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    With this video I am beginning a deep
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    learning tutorial series in Python. Now
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    this is designed for absolute beginners
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    so you do not need to have any prior
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    background in deep learning. What you
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    need to know is a little bit of Python,
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    Pandas, and machine learning. So for
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    Python, I'm going to link my Python
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    playlist. You need to follow first 16
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    video, 1 6. And then for Pandas, you can
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    follow maybe first 9 videos just to get
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    yourself clear on the data cleaning
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    procedure in Pandas. And for machine
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    learning I am, again, going to link my
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    machine learning tutorial playlist. You
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    can follow probably few of those
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    tutorials. I'm talking about SVM, decision
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    tree, linear regression, all those
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    tutorials in that list. There are some
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    projects as well, but it's ok if you
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    don't work on projects. And once you do
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    that, you can move on to this particular
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    series which is deep learning. So I'm
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    going to link a playlist here. I will be
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    producing videos in next few weeks and
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    as I produce videos, I will keep on
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    adding those videos. So all you need is a
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    willingness to learn, a decent computer,
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    you don't need any hi-fi computer by the way,
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    and just a basic knowledge in Python
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    Pandas and machine learning. Now this
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    series will be, of course, it will be in
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    Python. I will be using Keras and
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    Tensorflow.
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    I might use Pytorch as well, but I'm not
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    sure, but you will see in the upcoming
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    videos. Also, I will try my best to keep
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    things simple because deep learning
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    especially, is little heavy on
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    mathematics and statistics, and people
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    often have problem following those
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    concepts. And my whole goal for this
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    entire list is anyone can, any new
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    beginner, even if you don't have any
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    mathematics or statistics background, you
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    can follow this playlist and you can
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    hopefully write some deep learning
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    programs. If I need to clear any math
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    concepts, what I will do is as we are
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    going through the tutorial playlist,
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    we will cover those concepts
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    gradually. Throughout the playlist I will be
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    using a simple data set so that you get
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    an understanding of this concept
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    very easily. I will also provide
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    exercises. I'm not promising anything but
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    based on my time availability I will
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    provide exercises so that you can
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    practice those questions and post your
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    answers. Also, I am glad to announce that
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    NVIDIA has decided to give me NVIDIA
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    TITAN RTX GPU. It is the top of the line,
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    it is $2,500 GPU that NVIDIA company is
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    giving it to me for free, so I really
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    want to thank NVIDIA for supporting my
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    YouTube Work. You will have to use GPU if
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    you are performing any heavy deep
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    learning jobs, so I am planning to post
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    NVIDIA like, RTX GPU unboxing video as
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    well as I am going to build my own PC
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    using NVIDIA GPU. Now as I mentioned
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    before, you probably don't need to do all
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    of that. You can run it with your laptop
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    as well, but if you ever plan to get
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    involved in running deep learning jobs
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    on your computer, then NVIDIA is the
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    perfect GPU. I used to work for NVIDIA
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    by the way, ten years back. I was in
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    device driver programming team, so I used
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    to write device drivers for these GPUs,
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    and now I will be using the CPU for
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    doing deep learning jobs. So, again, thanks
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    NVIDIA for supporting my work. In the
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    next video, we'll look into why deep
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    learning is taking off now.
Title:
Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
Description:

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Video Language:
English
Duration:
03:39

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