Neural Networks and Deep Learning Explained: Layers, Learning, and Top Tools (TensorFlow & PyTorch)

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11 months ago
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Do It Yourself Neural Networks Deep Learning Machine Learning Artificial Intelligence Layers and Nodes Neural Networks Learning Backpropagation Gradient Descent TensorFlow Tutorial PyTorch Tutorial

In this video, we break down the complex world of neural networks and deep learning into easy-to-understand concepts. Learn about layers and nodes, how neural networks train using backpropagation, and the role of gradient descent. We’ll also introduce two of the most popular deep learning libraries, TensorFlow and PyTorch, helping you choose the right tool for your AI projects. Whether you’re a beginner or looking to deepen your understanding of machine learning, this video covers everything you need to get started.
Topics covered:
• Understanding layers and nodes in neural networks
• How neural networks learn using backpropagation and gradient descent
• A comparison of TensorFlow and PyTorch for deep learning
• The practical applications of neural networks in AI development

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