NEURAL DATA SCIENCE

What is the main purpose of backpropagation in neural networks?

• To change the input data

• To stop the training process

• To update weights and reduce loss

• To increase the loss

What happens during the forward pass in training?

• Loss is minimized

• Weights are updated

• Training is stopped

• Data is given to compute loss

What is one of the concerns when designing a neural network?

• How to make it slower

• What color to paint it

• How many layers and neurons to use

• How to avoid training

What should be adjusted to minimize loss during training?

• The input data

• The learning rate

• The number of layers

• The output labels

What will the next videos cover?

• How to draw neural networks

• Different types of animals

• How to stop training completely

• More technical details about training