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Neural Networks in Machine Learning

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Design and implement neural network architectures for machine learning applications using Python and TensorFlow
  • Optimize neural network models for accuracy, efficiency, and scalability in real-world datasets
  • Apply backpropagation and gradient descent techniques to train neural networks effectively
  • Evaluate neural network performance using metrics like accuracy, precision, recall, and loss functions

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Lessons | 5


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Alireza Bakhshipour 

useful
2025-03-24

ARAJA VEERANJANEYULU 

Nice
2025-02-16

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Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another .