FPGA BASED HARDWARE ACCELERATOR DESIGN FOR DEEP CONVOLUTIONAL NEURAL NETWORK
The development of hardware accelerators for deep learning is increasing rapidly with the purpose for flexibility to be applied to various deep learning architectures. Accelerators that are widely marketed today are accelerators with GPU-based architectures where developers encounter quite a l...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/58018 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |