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Neural Networks from Scratch in Python

Track :

Programming

Lessons no : 9

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Develop and implement basic neural network architectures using Python for machine learning and deep learning applications
  • Design and train neural networks from scratch to solve classification and regression problems in Python
  • Apply Python libraries like NumPy to build neural network models for AI and data science projects
  • Optimize neural network performance through techniques such as backpropagation, gradient descent, and parameter tuning
  • Evaluate neural network models using accuracy, loss functions, and validation techniques in Python
  • Integrate neural networks into real-world AI solutions for predictive analytics, pattern recognition, and data-driven decision making

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Lessons | 9


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If you're just starting out in the artificial intelligence (AI) world, then Python is a great language to learn since most of the tools are built using it. Deep learning is a technique used to make predictions using data, and it heavily relies on neural networks.