diegoalejogm

6 ms·

1.
Cyclic Generative Networks: Explained(medium.com)
3 points by diegoalejogm 6y ago|0 comments
2.
What is Reinforcement learning and why should you care?(medium.com)
3 points by diegoalejogm 6y ago|0 comments
3.
GANs Introduction in PyTorch and TensorFlow(medium.com)
2 points by diegoalejogm 6y ago|0 comments
4.
Teaching machines to behave: Reinforcement Learning(medium.com)
6 points by diegoalejogm 6y ago|0 comments
5.
Teaching machines to behave: Reinforcement Learning (Part 1)(medium.com)
1 points by diegoalejogm 6y ago|0 comments
6.
GANs Tutorial(medium.com)
2 points by diegoalejogm 8y ago|0 comments
7.
Reinforcement Learning Algorithms in Python (Based on Sutton and Barto)(github.com)
3 points by diegoalejogm 9y ago|0 comments
8.
GANs from Scratch: A deep introduction with code in Pytorch and TensorFlow(medium.com)
2 points by diegoalejogm 9y ago|0 comments
9.
by diegoalejogm 9y ago
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!! ENJO
10.
Adversarial Network Learning MNIST Digits
2 points by diegoalejogm 9y ago|1 comments
11.
by diegoalejogm 9y ago
Good to know :) Thanks for the info, I'll have that in mind for the following posts!
12.
by diegoalejogm 9y ago
Forgot to mention that it is learning from raw pixels!! No other info is passed to the agent, except the screen frames :)
13.
by diegoalejogm 9y ago
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
14.
by diegoalejogm 9y ago
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
15.
by diegoalejogm 9y ago
No, it hasn't. Here: http://github.com/diegoalejogm/deep-q-learning Try again and let me know if this time it works :)
16.
by diegoalejogm 9y ago
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.
17.
by diegoalejogm 9y ago
Also, you can check the FloydExecution in: https://www.floydhub.com/diegoalejogm/projects/atari/29
18.
by diegoalejogm 9y ago
PyTorch code: https://github.com/diegoalejogm/deep-q-learning I'll add final results and performance videos soon!
19.
AI Learning How to Play Pong in RealTime – PyTorch(floydlabs.com)
63 points by diegoalejogm 9y ago|12 comments
20.
by diegoalejogm 9y ago
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
21.
AI Learning How to Play Pong FloydHub and GitHub Links
2 points by diegoalejogm 9y ago|1 comments
22.
by diegoalejogm 9y ago
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 u
23.
by diegoalejogm 9y ago
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
24.
Deep Q Network Learning to Play Pong on TensorBoard(floydlabs.com)
3 points by diegoalejogm 9y ago|4 comments
25.
by diegoalejogm 9y ago
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. ;)
26.
by diegoalejogm 9y ago
That’s the next step, after implementing more GAN papers. If you’re up to it, you’re very welcome to contribute with that. :)
27.
by diegoalejogm 9y ago
More models coming soon! :)
28.
Generative Adversarial Networks Code in PyTorch and Tensorflow(github.com)
139 points by diegoalejogm 9y ago|6 comments