CE6146 exam prep
Questions written from the lecture slides and in-class exercises of NCU CE6146 Introduction to Deep Learning — paraphrased, each also citing an open source — and the bank's topics for the weeks still to come.
369 course questions
From the lecture slides
- Lecture 1 · Deep learning basics 133 questions Test · 20 min
- Lecture 2 · Feedforward neural networks 117 questions Test · 20 min
- Lecture 3 · Optimization and regularization 83 questions Test · 20 min
From the in-class exercises
- Exercise 1 40 questions Test · 20 min
- Exercise 2 40 questions Test · 20 min
- Exercise 3 40 questions Test · 20 min
Later weeks of the syllabus
No questions from these slides yet — practise the bank's topics that cover them. Mixed test over these topics
- Convolutional Neural Networks
- 66 questions Notes Test · 20 min
- Recurrent Neural Networks
- 47 questions Notes Test · 20 min
- Attention & Transformers
- 65 questions Notes Test · 20 min
- Graph Neural Networks
- 31 questions Notes Test · 20 min
- Autoencoders and GANs
- Autoencoders & VAEs · 36 questions Notes Test · 20 min
- Generative Adversarial Networks · 29 questions Notes Test · 20 min
- Explainable AI
- 34 questions Notes Test · 20 min
- Reinforcement learning
- RL Fundamentals · 37 questions Notes Test · 20 min
- Value-Based Methods · 31 questions Notes Test · 20 min
- Policy Gradient & Actor-Critic · 28 questions Notes Test · 20 min
The course's slides and exercises are not published here: the questions only paraphrase them and cite slide numbers.