You'll explore various activation and loss functions, alongside training algorithms like Gradient Descent and Adam. Practical sessions include data explanation, numerical examples, and hands-on implementation using MATLAB and Python. By the end, you'll be equipped to develop neural networks for diverse applications, making this course essential for both beginners and experienced practitioners.
You may feel your favorite manga should be gathered together into distinct categories for your own reference and, now, you can do this with a LIST. After you've created your list or lists, you can proudly recommend them to other manga fans to showcase and share your taste in manga.
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