Sarujanviews

  What is deep learning and how it works? Deep learning is a subfield of machine learning that is inspired by the structure and function of the brain, specifically the neural networks that make up the brain. It involves training artificial neural networks on a large dataset, allowing the network to learn and make intelligent decisions on its own. There are many different types of deep learning models, but the most basic and widely used type is the feedforward neural network. These models consist of layers of interconnected nodes, where each node represents a unit of computation. The input data passes through the input layer, and then it is processed and transformed as it passes through the hidden layers, until it reaches the output layer, where a prediction or decision is made. During the training process, the model adjusts the weights and biases of the connections between the nodes to minimize the error between the predicted output and the true output. This is done using an optimi...