Neural Networks #6: WaveNet

⏰ 13:00-15:00 Sunday, Jun 08
📌 F0RTHSP4CE, Ana Kalandadze, 5
👉🚪How to get to the entrance 

Language: EN
Entrance: free
Host: @Mike_Went
Speaker: @gustawdaniel

We take the 2-layer MLP from the previous event and make it deeper with a tree-like structure, arriving at a convolutional neural network architecture similar to the WaveNet (2016) from DeepMind. Along the way we get a better sense of torch.nn and what it is and how it works under the hood.

Bring your laptops with Jupyter.

This is an advanced course, we assume that you have basic python, algebra and calculus knowledge.

👉 Register here (optional): https://meetu.ps/e/NYWqc/vScFh/i