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diegoalejogmon Adversarial Network Learning MNIST Digits

Make sure to expand the VGAN_MNIST tab to see error progress in real-time.

Also make sure to click on the IMAGES tab to visualize the progress. There's a slider to see the images generated at previous steps, and the current ones!!

ENJOY

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

Good to know :) Thanks for the info, I'll have that in mind for the following posts!

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

Forgot to mention that it is learning from raw pixels!! No other info is passed to the agent, except the screen frames :)

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

No worries! Here's also a link to the current progress https://www.floydhub.com/diegoalejogm/projects/atari/29 in case you wanna check the machine usage too

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

Yeah! I couldn't have described it better than you just did!

Feel free to take a look at the code and star the code if you like it. I'll keep upgrading it and adding more Reinforcement Learning variations

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

No, it hasn't. Here: http://github.com/diegoalejogm/deep-q-learning

Try again and let me know if this time it works :)

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

Also, it will be training for several hours more (I approximate 20), so make sure to keep updated. I'll post videos on the current execution performance.

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

Also, you can check the FloydExecution in: https://www.floydhub.com/diegoalejogm/projects/atari/29

diegoalejogmon AI Learning How to Play Pong in RealTime – PyTorch

PyTorch code: https://github.com/diegoalejogm/deep-q-learning

I'll add final results and performance videos soon!

diegoalejogmon AI Learning How to Play Pong FloydHub and GitHub Links

I recommend to soften the curves with a value of 0.9

Here's the link of the FloydHub process: https://www.floydhub.com/diegoalejogm/projects/atari/29

diegoalejogmon Deep Q Network Learning to Play Pong on TensorBoard

Yeah! Sorry for that, FloydHub has got some errors at the moment and my progress wasn't stored anymore.

You can check out the code here: https://github.com/diegoalejogm/deep-q-learning

It works! I got the models up to the point where FloydHub stopped working. Leave me your mail or something and I can write you to let you know when I upload the training model again! :)

diegoalejogmon Deep Q Network Learning to Play Pong on TensorBoard

I built it with PyTorch and is running in FloydHub with GPUs. I suggest you set a smoothing of 0.9 to see the increasing trend :)

Code can be found here: https://github.com/diegoalejogm/deep-q-learning

diegoalejogmon Generative Adversarial Networks Code in PyTorch and Tensorflow

It looks awesome, thanks!

The idea of this library is to show the inner workings of the GANs as they’re publicized in the papers, but I will definitely make some examples with TFGANs in the future for broader exposition. ;)

diegoalejogmon Generative Adversarial Networks Code in PyTorch and Tensorflow

That’s the next step, after implementing more GAN papers. If you’re up to it, you’re very welcome to contribute with that. :)

diegoalejogmon Generative Adversarial Networks Code in PyTorch and Tensorflow

More models coming soon! :)