About this document
Understanding Artificial Neural Networks by hridyasagarmeledath02 is a document available to read on EtoBox.
The document provides an overview of Artificial Neural Networks (ANNs), detailing their structure, components, and functionalities, including the comparison with biological neurons. It discusses various types of neural networks, such as Feedforward and Recurrent networks, and introduces key concepts like backpropagation and activation functions. Additionally, it highlights the Keras API for building deep learning models and outlines applications of Keras in fields like image processing, NLP, and healthcare.
- Author
- hridyasagarmeledath02
- Language
- EN