Is it difficult to understand neural networks and deep learning? All fears will fade into the background if Ilya Senatorov tells you about this as part of a practical course on Machine Learning. You will receive a lot of useful information during the lesson, and examples on cats will make you smile and help you learn the material. 😸

“Knowing that all the kitties live in the same neighborhood, by sampling at these coordinates, we will be able to decode the same kitties. A sampled latent vector is a cat taken by the scruff of its neck. The backpropagation of a single kitty is a lost cause (Greenpeace will not approve), so we are doing a reparametrization.”

P.S. Not a single cat was injured during the training process! 🐈

We usually conduct such courses once a year, and the current launch is already nearing completion, so we recommend that you sign up for the waiting list in advance so that we can conduct another launch in November or December of this year.

BigData Team: the way you learn best

Py4BDA | Python | Machine Learning | Big Data | BD/ML Engineer

#paparazzi #study #ML