Rethinking Task Based Concurrency and Parallelism for Low Latency C++same thinking we used when we created them.” - Albert EinsteinSo what is there to Rethink?Rethinking: Task Queues Problem #1 - Task Queues Do Not Scale Well: ● Contention: ○ Even the most meticulously0 码力 | 142 页 | 2.80 MB | 5 月前3- Why NativeScript Demands You Rethink Your Mobile Application Strategy0 码力 | 27 页 | 958.39 KB | 1 年前3
- 《Efficient Deep Learning Book》[EDL] Chapter 5 - Advanced Compression Techniquesretrained to match or exceed the performance of the larger network. Liu et al. in their work titled "Rethinking the Value of Network Pruning10" replicated Frankle et al.'s work using structured pruning and demonstrated supermask." Advances in neural information processing systems 32 (2019). 10 Liu, Zhuang, et al. "Rethinking the value of network pruning." arXiv preprint arXiv:1810.05270 (2018). 9 Frankle, Jonathan, and0 码力 | 34 页 | 3.18 MB | 1 年前3
- 机器学习课程-温州大学-08深度学习-深度卷积神经网络Neural Networks for Mobile Vision Applications (Andrew G. Howard et al., 2017) • EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (Mingxing Tan and Quoc V. Le, 2019) 32 谢 谢！0 码力 | 32 页 | 2.42 MB | 1 年前3
- Continuous Regression Testing for Safer and Faster Refactoringlarge number of test cases and report test results as actionable insights.26 Aurora Innovation Rethinking snapshot testing27 Aurora Innovation About Touca Find the unintended side-effects of your day-to-day0 码力 | 85 页 | 11.66 MB | 5 月前3
- OpenAI 《A practical guide to building agents》A practical guide to building agents When should you build an agent? Building agents requires rethinking how your systems make decisions and handle complexity. Unlike conventional automation, agents0 码力 | 34 页 | 7.00 MB | 5 月前3
- 《Efficient Deep Learning Book》[EDL] Chapter 6 - Advanced Learning Techniques - Technical ReviewJMLR.org, 13 July 2020, pp. 6448-58, doi:10.5555/3524938.3525536. 16 Szegedy, Christian, et al. "Rethinking the Inception Architecture for Computer Vision." arXiv, 2 Dec. 2015, doi:10.48550/arXiv.1512.005670 码力 | 31 页 | 4.03 MB | 1 年前3
- 《Efficient Deep Learning Book》[EDL] Chapter 4 - Efficient Architecturespreprint arXiv:2101.08890. 15 Chung, H. W., Fevry, T., Tsai, H., Johnson, M., & Ruder, S. (2020). Rethinking embedding coupling in pre-trained language models. arXiv preprint arXiv:2010.12821. A common solution0 码力 | 53 页 | 3.92 MB | 1 年前3
- Keras: 基于 Python 的深度学习库• classes: 可选，图片分类的类别数，仅当 include_top 为 True 并且不加载预训练权值时可 用。 返回值 一个 Keras Model 对象。 参考文献 • Rethinking the Inception Architecture for Computer Vision License 预训练权值基于 Apache License。 13.3.6 InceptionResNetV2 • classes: 可选，图片分类的类别数，仅当 include_top 为 True 并且不加载预训练权值时可 用。 返回值 一个 Keras Model 对象。 参考文献 • Rethinking the Inception Architecture for Computer Vision License 预训练权值基于 Apache License。 13.3.7 MobileNet0 码力 | 257 页 | 1.19 MB | 1 年前3
Flask Documentation (1.1.x)or regular messages differently for example. This is an opt-in feature because it requires some rethinking in the code. Read all about that in the Message Flashing pattern. Changelog Version 1.1.4 Released0 码力 | 428 页 | 895.98 KB | 1 年前3
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