Test Deep learning - Fundamentals

This test aims to assess your skills in the field of deep learning. The structure of this MCQ is inspired by popular job interview questions in this field. The concepts you'll find here are what recruiters look for when recruiting an entry-level deep learning developer. The list of notions is vast, but expectations are basic.
The list of concepts assessed in this MCQ is written below. I advise you to master them well before starting, otherwise some questions may seem difficult to you.

• General information about deep learning (AI - deep learning relation, deep learning vs machine learning, etc.)
• Structure and composition of neurons and neural networks (ANN, RNN, recurrence…)
• Basic notions concerning the development of models (different types of models, learning methods, train/evaluation/test sets, ensemble learning, etc.)
• deep learning models’ performance evaluation (loss function, gradient descent…)
• Dataset’s preparation
• Codes and packages
  Good luck!