Supervised Learning - Classification Week 9 Challenge

Ans no 1:-

Neural networks are a class of machine learning algorithms used to model complex patterns in datasets using multiple hidden layers and non-linear activation functions.

Ans No 2:-

Deep learning is a type of machine learning, which is a subset of artificial intelligence.deep learning is about computers learning to think using structures modeled on the human brain

Ans No 3:-

activation function is a function that is added into an artificial neural network in order to help the network learn complex patterns in the data

Ans No 4:-

• Binary Step Function.
• Linear Activation Function.
• Sigmoid/Logistic Activation Function.
• The derivative of the Sigmoid Activation Function.
• Tanh Function (Hyperbolic Tangent)
• Gradient of the Tanh Activation Function.
• ReLU Activation Function.The Dying ReLU problem

Ans No 5:-

backpropagation is an algorithm used to calculate derivatives quickly. Artificial neural networks use backpropagation as a learning algorithm to compute a gradient descent with respect to weights. The algorithm gets its name because the weights are updated backwards, from output towards input.