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Build an AI Artist – Machine Learning for Hackers #5



Siraj Raval

This video will get you up and running with your first AI Artist using the deep learning library Keras!

The code for this video is here:
https://github.com/llSourcell/AI_Artist

I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/

Here’s the initial Google DeepDream blog post:
http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html

A Deepdream web app:
https://dreamscopeapp.com/

The Neural Style Paper:
http://arxiv.org/pdf/1508.06576v2.pdf

Some great info on convolutional neural networks:
http://colah.github.io/posts/2014-07-Conv-Nets-Modular/

You should train this baby in the cloud using AWS. See ML for Hackers #4 for a tutorial on how to use AWS:
https://www.youtube.com/watch?v=eKmIVU8EUbw

This person went ahead and made a web app so you don’t even have to compile the code to try this out:
https://deepart.io/

I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I’m doing this full time now.

I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693

Much more to come so please subscribe, like, and comment.
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37 thoughts on “Build an AI Artist – Machine Learning for Hackers #5
  1. How does this video not get a GAZILLION views is beyond me! The more I think about the idea of machine learning the more it fascinates me. Man you are onto something here. keep up the good work.
    People may have a problem with the PACE of the video here. Personally I think it is satisfactory and absolutely fine, You shouldn't have to slow down for anybody when you are in the MODE! πŸ™‚

  2. Traceback (most recent call last):
    File "Network.py", line 237, in <module>
    load_weights(weights_path, model)
    File "Network.py", line 63, in load_weights
    model.layers[k].set_weights(weights)
    File "/home/sabretooth/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 889, in set_weights
    'provided weight shape ' + str(w.shape))
    Exception: Layer weight shape (3, 3, 512, 64) not compatible with provided weight shape (64, 3, 3, 3)

    I am facing this problem. Please give me any suggestions.. Thanks in advance.

  3. Exception: Layer weight shape (3, 3, 512, 64) not compatible with provided weight shape (64, 3, 3, 3)

    I am getting this error. Please tell me where the problem is. Is it with the image files or the VGGfile or keras library.?

  4. I know that 5 minute videos are most popular on youtube, but please … can barely follow.
    They are only usable for an entertaining showcase to have an overview, but they donΒ΄t function as tutorials.

  5. Which method can you propose me, to learn quicker and understand the fundamental, i am getting started in python programmation

  6. bro your content is intimidating but we can barely follow your tutorials. it's kind of very fast. I suggest you must do long video with quite more explanation about how code is actually working. you have the best knowledge about machine learning hence we expect a lot from you in upcoming future. thanks.

  7. Although it's cool that you could do that. The thing is there isn't really a need to automate that ,since art is simply expressing your emotions. The whole point of automation is to allow people to go pursue and do their hobbies ,while a emotionless machine does the dirty work for them.

  8. What is the reasoning behind the doubling of layer depth for each block? As in at 3:57 it goes 64, 128, 256? What advantage does this have over say, making them all the same?

  9. Please do help with stepwise explanations, these videos are good but if you do explain in detail will be more helpful for the beginners, thanks for such informative videos.

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