APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Detailed explanation-1: -Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers.
Detailed explanation-2: -These are three types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.
Detailed explanation-3: -There are several famous layers in deep learning, namely convolutional layer and maximum pooling layer in the convolutional neural network, fully connected layer and ReLU layer in vanilla neural network, RNN layer in the RNN model and deconvolutional layer in autoencoder etc.
Detailed explanation-4: -Machine learning involves showing a large volume of data to a machine so that it can learn and make predictions, find patterns, or classify data. The three machine learning types are supervised, unsupervised, and reinforcement learning.