Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Short summary

This review provides a holistic overview of deep learning (DL), covering its core concepts, the evolution of convolutional neural network (CNN) architectures from AlexNet to HR.Net, current challenges and solutions, major applications, and computational tools (FPGA, GPU, CPU).

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