CIFAR-100分类实战项目是一个深度学习领域的实战项目，主要通过ResNet和Wide-ResNet两种流行的卷积神经网络架构，实现对CIFAR-100数据集的分类任务。该项目不仅提供了完整的代码资源，而且还是开源的，这使得广大学习者和研究者能够直接访问并研究代码，从而深入理解模型的调优方法和实验操作流程。 CIFAR-100数据集是由100个小类构成的，每个小类包含600张32x32彩色图像，共有60,000张图像。这个数据集相比CIFAR-10更加具有挑战性，因为包含的类别更多，数据量也更大。在机器学习和计算机视觉领域，它被广泛用作算法性能的测试标准。 ResNet（残差网络）是深度学习中一种重要的神经网络结构，它通过引入“跳跃”连接，解决了网络深度增加时容易出现的梯度消失问题，使得网络可以训练更深。ResNet的设计理念是即使网络很深，也能够保持信息流的畅通无阻，从而使得网络的性能得到显著提升。 Wide-ResNet是ResNet的变种之一，它通过增加网络的宽度来提升性能，即在保持网络深度不变的同时，增加每一层的卷积核数量。这种方法可以有效地提升模型的表达能力，并且通常比增加网络深度的方法更为计算高效。 本项目的开源代码提供了对CIFAR-100数据集的处理和加载流程、数据增强策略、模型搭建、训练与测试的整个流程。使用本项目代码，可以帮助学习者和研究者在实践中学习如何进行模型的设计、调整和优化。这对于理解深度学习模型的内在机制和提高图像分类任务的性能具有很大的帮助。 在项目代码中，会详细展示如何使用Python语言和深度学习框架（如TensorFlow或PyTorch）搭建网络模型，以及如何运用诸如学习率调整、权重初始化、正则化等技术手段进行模型的训练。此外，还会涉及到如何评估模型的性能，比如准确率、损失值等指标的监控和分析。 这个项目对于那些希望提高机器学习技能，尤其是对图像分类有兴趣的研究者和开发者来说，是一个宝贵的资源。通过这个项目，学习者不仅能够学习到构建高性能图像分类模型的技巧，也能够加深对深度学习模型调优过程的理解。

Preface................................................................................................ vii Part I: RF Circutis: wide band, Front-Ends, DAC’s Introduction ........................................................................................ 1 Ultrawideband Transceivers John R. Long ...................................................................................... 3 High Data Rate Transmission over Wireless Local Area Networks Katelijn Vleugels................................................................................ 15 Low Power Bluetooth Single-Chip Design Marc Borremans, Paul Goetschalckx ................................................. 25 RF DAC’s: output impedance and distortion Jurgen Deveugele, Michiel Steyaert................................................... 45 High-Speed Bandpass ADCs R. Schreier .......................................................................................... 65 High-Speed Digital to Analog Converters Konstantinos Doris, Arthur van Roermund........................................ 91 Part II: Design Methodology and Verification for RF and Mixed-Signal Systems Introduction ........................................................................................ 111 Design Methodology and Model Generation for Complex Analog Blocks Georges Gielen................................................................................... 113 Automated Macromodelling for Simulation of Signals and Noise in Mixed-Signal/RF Systems Jaijeet Roychowdhury ........................................................................ 143 A New Methodology for System Verification of RFIC Circuit Blocks Dave Morris........................................................................................ 169 Platform-Based RF-System Design Peter Baltus ........................................................................................ 195 Practical Test and BIST Solutions for High Performance Data Converters Degang Chen ...................................................................................... 215 Simulation of Functional Mixed Signal Test Damien Walsh, Aine Joyce, Dave Patrick ......................................... 243 Part III: Low Power and Low Voltage Introduction ........................................................................................ 249 The Effect of Technology Scaling on Power Dissipation in Analog Circuits Klaas Bult ........................................................................................... 251 Low-Voltage, Low-Power Basic Circuits Andrea Baschirotto, Stefano D’Amico, Piero Malcovati ................... 291 0.5 V Analog Integrated Circuits Limits on ADC Power Dissipation Ultra Low-Power Low-Voltage Analog Integrated Filter Design Wireless Inductive Transfer of Power and Data Robert Puers, Koenraad Van Schuylenbergh, Michael Catrysse, Bart Peter Kinget, Shouri Chatterjee, and Yannis Tsividis........................ 329 Boris Murmann .................................................................................. 351 Wouter A. Serdijn, Sandro A. P. Haddad, Jader A. De Lima ............ 369 Hermans ............................................................................................. 395

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