MACHINE LEARNING

Detailed explanation-1: -Deep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning.

Detailed explanation-2: -Deep learning uses supervised learning in situations such as image classification or object detection, as the network is used to predict a label or a number (the input and the output are both known). As the labels of the images are known, the network is used to reduce the error rate, so it is “supervised”.

Detailed explanation-3: -Neural Networks are essentially a part of Deep Learning, which in turn is a subset of Machine Learning.

Detailed explanation-4: -Recurrent neural network (RNN) RNN architecture is a full-featured deep learning classification algorithm that works well with sequential data. In natural language processing and speech recognition, RNNs are currently the most advanced approaches.