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[BOOK] Artificial neural network and deep learning: fundamentals and theory

Artificial neural network and deep learning: fundamentals and theory. Neural Network and Deep Learning with Mathematica.

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POSTED BY: Mohamed Hammad
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Posted 1 year ago
POSTED BY: Sangdon Lee

Hi Dr. Sangdon Lee,

Thank you so much for your kind words and feedback on "Neural Network and Deep Learning with Mathematica"! I'm thrilled to hear that Chapters 4 and 5 have been helpful to you in navigating the complexities of integrating different layers and functions within Mathematica.

I appreciate your suggestion regarding providing more examples on other layers such as FunctionLayer, RecurrentLayer, AttentionLayer, and NetMapOperator. I'll definitely take that into consideration for future updates and additions to the book. Ensuring comprehensive coverage of these advanced functionalities is crucial for a deeper understanding and practical application of neural networks.

I’m currently working on a new volume titled "Advanced Topics," which will include sections on Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Large Language Models (LLMs). This new volume will delve into these advanced areas in greater detail, and your feedback will be invaluable in shaping its content.

Best regards,
M. Hammad

POSTED BY: Mohamed Hammad

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