Today at OOP in Munich, I had an in-depth talk on deep learning, including applications, basic concepts as well as practical demos with Tensorflow, Keras and PyTorch.

As usual, the slides are on RPubs, split up into 2 parts because of the plenty of images included – lossy png compression did work wonders but there’s only so much you can expect 😉 – so there’s a part 1 and a part 2.

There’s also the github repository with the demo notebooks.

Thanks to everyone who attended, and thank you for the interesting questions!

As usual, the slides are on RPubs, split up into 2 parts because of the plenty of images included – lossy png compression did work wonders but there’s only so much you can expect 😉 – so there’s a part 1 and a part 2.

There’s also the github repository with the demo notebooks.

Thanks to everyone who attended, and thank you for the interesting questions!

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[…] Today at OOP in Munich, I had an in-depth talk on deep learning, including applications, basic concepts as well as practical demos with Tensorflow, Keras and PyTorch. As usual, the slides are on RPubs, split up into 2 parts because of the plenty of images …read more […]