What is Deep Learning?
Deep learning is a subtopic within machine learning that seeks to automate the feature selection process in addition to the learning
Deep learning is a subtopic within machine learning that seeks to automate the feature selection process in addition to the learning
Advantages: Often unbeatable in terms of accuracy
Deep Learning is a subset of Machine Learning
A ‘Perceptron’ is the building block of a Neural Network inspired from the neurons that are found in the brain.
The Multi-Layer Perceptron (MLP) is an ‘Artificial Neural Network’ (ANN) having one or more hidden layers
A standard ANN model consists of an input layer, an output layer, and hidden layers
A Deep Neural Network consists of two or more hidden layers.
Activation functions transform a linear combination of weights and biases into an output
Sigmoid (Logistic) is one such non-linear activation function.
TanH is one such non-linear activation function.