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This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...
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Adagrad Algorithm Explained and Implemented from Scratch in Python
Understand how the Adagrad optimizer works and build it from scratch in Python—step-by-step and beginner-friendly.
Deep Learning with Yacine on MSN3mon
Understanding Forward Propagation in Neural Networks with Python
Confused by neural networks? Break it down step-by-step as we walk through forward propagation using Python—perfect for beginners and curious coders alike!
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