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Neural Networks Explained: Theory, Activation Functions, and Learning Process 6 дней назад


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Neural Networks Explained: Theory, Activation Functions, and Learning Process

This video introduces the fundamental concepts of artificial neural networks, starting with their biological inspiration. It explains perceptrons, linear regression, activation functions, and the importance of biases. The video also covers backpropagation, gradient descent optimization, and batch processing, highlighting key terms like epochs, loss functions, and learning rates. Finally, it introduces common deep learning frameworks, including TensorFlow, PyTorch, and Keras. Experience the full course and access all materials completely free of charge on the NFDI4Earth Educational Portal. Start learning (Coming Soon): https://edutrain.nfdi4earth.de

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