Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics

The video tutorial covers predictive analytics, focusing on deep learning and its advantages over classical machine learning methods. It explains the structure and function of artificial neural networks, including perceptrons and deep neural networks. The tutorial also discusses multilayer perceptrons and their training using backpropagation and gradient descent methods.

Explain the significance of the backpropagation algorithm in training neural networks.

What are the common cost functions used in neural networks, and why are they important?

Describe the process of weight updates in neural networks during training.

What modifications are made to the output layer in a multilayer perceptron for multiclass classification tasks?