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Understanding Artificial Neural Networks by Atharva Kale is a document available to read on EtoBox.
What is Understanding Artificial Neural Networks about?
The document provides an overview of Artificial Neural Networks (ANNs), detailing their components such as neurons, layers, weights, biases, and activation functions. It explains how ANNs function through forward propagation, training processes including loss functions and backpropagation, and optimization algorithms. Additionally, it covers different types of ANNs, particularly Feedforward Neural Networks, and includes a hands-on example using TensorFlow and Keras for a binary classification problem.
- Author
- Atharva Kale
- Language
- EN