basics
What is Deep Learning?
A subset of Machine Learning
Difference between ML & Deep Learning?
Feature engineering is needed in ML
What do activation functions do?
Decide whether a neuron activates
Applications of Deep Learning?
Image and Speech Recognition
Purpose of a loss function?
To measure the difference between predicted and actual values
Why is Deep Learning important?
It achieves high accuracy
What is an Artificial Neural Network (ANN)?
A foundation of Deep Learning
Steps in training a neural network?
Forward propagation, Compute loss, Backpropagation
Conclusion about Deep Learning?
A powerful technique for solving complex problems
What is overfitting?
When a model performs well on training but poorly on new data
Is Deep Learning only theoretical?
No, it's used in real-world applications
What are neural networks inspired by?
The human brain
What is backpropagation used for?
Updating model weights based on errors
Can Deep Learning be used in autonomous vehicles?
Yes
How can overfitting be reduced?
Using regularization or more data