What is the difference between a deep neural network and a shallow neural network?

Vaibhav Kothia May 26, 2023 0 Comments

A deep neural network (DNN) is an artificial neural network (ANN) with multiple hidden layers that can learn complex nonlinear relationships between inputs and outputs. By contrast, a shallow neural network (SNN) has only one or two hidden layers and is limited to learning linear relationships between inputs and outputs.

For example, a DNN could be used to predict the stock market based on a variety of inputs, such as news headlines, economic indicators, and historical data. A shallow neural network, on the other hand, could only be used to predict the stock market based on a single input, such as the S&P 500 index.

What is the difference between a convolutional neural network and a recurrent neural network?

Vaibhav Kothia May 26, 2023 0 Comments

A convolutional neural network (CNN) is a type of neural network that is used for image recognition and classification. It uses convolutional layers to extract features from images and then classifies them.

A recurrent neural network (RNN) is a type of neural network that is used for sequence analysis. It uses recurrent layers to store and process information over time and can be used for natural language processing.

For example, a CNN might be used to classify an image of a cat, while an RNN might be used to generate a caption for the same image.

What is the purpose of an activation function?

Vaibhav Kothia May 26, 2023 0 Comments

An activation function is a mathematical function used in artificial neural networks to determine the output of a neuron from its inputs. It is used to introduce non-linearity into the network, allowing it to learn more complex functions.

For example, the most commonly used activation function is the Rectified Linear Unit (ReLU). This function takes the input and returns 0 if it is negative, and returns the input if it is positive. This allows the network to learn more complex functions, like distinguishing between different classes of data.