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blogs.mathworks.com
| | bdtechtalks.com
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| | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.
| | danielegrattarola.github.io
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| | Artificial intelligence scientist
| | stribny.name
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| | Fields in Artificial Intelligence and what libraries to use to address them.
| | sirupsen.com
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| [AI summary] The article provides an in-depth explanation of how to build a neural network from scratch, focusing on the implementation of a simple average function and the introduction of activation functions for non-linear tasks. It discusses the use of matrix operations, the importance of GPUs for acceleration, and the role of activation functions like ReLU. The author also outlines next steps for further exploration, such as expanding the model, adding layers, and training on datasets like MNIST.