Artifical Neural Networks(Deep Learning) and it’s types

If you are a complete novice and know nothing about deep learning, keep reading. You’ve come to the right spot; this article will help you comprehend deep learning and its various network kinds.
Machine learning has a subset called “Deep Learning.” First, we need to study a little bit about machine learning in order to comprehend deep learning. We make predictions using mathematical models in machine learning. To predict the same issue, machine learning uses various algorithms. When it comes to the subject of deep learning, it is an exact replica of how the human brain functions. Artificial neural networks are used to predict the stuff. Artificial neural networks come in a variety of varieties, each with unique uses.

A convolutional neural network is referred to as CNN. CNN is considered to be the pioneer in the field of feature extraction from images and many applications involving images, such as object recognition and classification problems. The RNN is utilized for sequence prediction challenges. LSTM is a sophisticated variation of RNN. Generative adversarial neural networks are now excellent for making realistic visuals and have many other uses. This serves as a fundamental introduction to deep learning and its networks.