Introduction
- Introduction
- Deep Learning Interview Preparation Introduction
Where can I find the most popular first 1-50 Deep Learning Questions?
- Answer
Deep Learning Pro: Advanced AI Interview Prep
- What is the difference between generative and discriminative models?
- What are Autoencoders and How Do They Work?
- Can You Explain How Autoencoders Can be Used for Anomaly Detection?
- How can uncertainty be introduced into Autoencoders, & what are the benefits?
- Can you explain what VAE is and describe its training process?
- Can you explain the training & optimization process of VAEs?
- Padded Convolutions: What are Valid and Same Paddings?
- What is the impact of Stride size on CNNs?
- What is Pooling, what is the intuition behind it and why is it used in CNNs?
- Describe how Generative Adversarial Networks (GANs) work
- How do minimax and Nash Equilibrium affect GAN training?
Bonus Section
- Bonus Lecture
