Dive into Deep Learning: Coding Session #1 – Setup & MLP (Americas/EMEA)

📌 Session #1 – Presentation of D2L, setup, and the MLP-model 📌 Introduction, Coding & Discussion About: The goal of these bi-weekly sessions is to provide code-focused sessions by reimplementing selected models from the book “Dive into Deep Learning“. These sessions are meant for people who are interested in implementing models from scratch and/or never have implemented a model before. We hope to help participants either get started in their Machine Learning journey or deepen their knowledge if they already have previous experience. We will try to achieve this by: * Helping participants to create their models end-to-end by reimplementing models from scratch, and discussing what modules/elements need to be included (e.g. data preprocessing, dataset generation, data transformation, etc…) to train an ML model. * Discussing and resolving coding questions participants might have during the sessions. 📌 Session Leads: Devansh Agarwal and Kshitij Aggarwal Devansh Agarwal is a Data Scientist at BMS. He graduated