52,581 to 52,590 of 71,285 Results
Dec 27, 2020School of Materials Science and Engineering (MSE)
Research topics: • Self assembly • Porous materials • Hybrid composite • Nonequilibrium transformation • Green environmental solutions • Urban sustainability Tan Research Group @ NTU |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
ZIP Archive - 1.2 GB -
MD5: ce4fc478984c26ed80a6c83abfb1bd8c
The_GAP8_SDK that contains the compiler and source codes |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
ZIP Archive - 2.0 MB -
MD5: 851043007b84fd2c2599ebd2485c71e1
The latex folder of the paper |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Adobe PDF - 2.3 MB -
MD5: 4a934600b747084740524d91df1c1909
The PPT for the conference |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Tabular Data - 19.2 KB - 17 Variables, 149 Observations - UNF:6:VrCPbjap40q9aQlCjvdQBA==
The performance of XOR-Net and competing methods. |
Dec 21, 2020 -
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices
Tabular Data - 2.3 KB - 6 Variables, 60 Observations - UNF:6:xxq6bqFO6DSue3p5nX3/8Q==
The power consumption of XOR-Net and competing methods. |
Python Source Code - 5.1 KB -
MD5: 61e9a8084638ab759bbc391f3c8a23f4
|
Comma Separated Values - 14.8 KB -
MD5: ca7760819b3229d663a68c299d2a5681
|
Python Source Code - 1.4 KB -
MD5: 06e5ca30fc3c2394ba28b34f17314576
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