Understanding Artificial Neural Networks (ANNs)
Artificial Neural Networks are not a new technology but the recent attainments in the field of Artificial Intelligence has made it important to learn ANN’s implementation and uses.
- We are aware of those Neural Networks in our brains which looks like cobwebs inside the skull in biology pictures, but are actually the most beneficial part of a human body.
- They are responsible for message transportation in our body. Also, they remind us to complete our today’s task or the streak would break, whether it be of Leetcode, Snapchat or Duolingo.
There exists an Artificial Neural Network outside our brains, but it replicates the mechanism and technique, that of a human brain.
Securing Transactions: Banknote Classification with Neural Networks
Banknote classification is a critical task in financial systems, ensuring the validity and integrity of monetary transactions. With advancements in machine learning, particularly deep learning, the accuracy and efficiency of banknote classification systems have significantly improved. In this article, we’ll learn about the basic implementation of a Artificial Neural Networks using TensorFlow and Keras. We’ll add a dense hidden layer to the model. Artificial Neural Networks will be trained on a dataset and binary classification will be performed to predict the output class.
Table of Content
- Understanding Artificial Neural Networks (ANNs)
- Implementing Neural Network Model for Banknote Classification
- Training the ANN for Banknote Classification
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