- 使用TensorFlow的神经网络架构知识
受众
- 开发人员
- 研究人员
- 工程师
- 数据科学家
Tensor Processing Unit (TPU) 是 Google 内部使用多年的架构，现在才开始向公众开放。它包含多项专为神经网络优化的功能，例如简化的矩阵乘法，以及使用8位整数而非16位整数，以提供适当的精度水平。
在这项由讲师指导的培训中，学员将学习如何利用TPU处理器的创新功能，最大化其AI应用的性能。
培训结束后，学员将能够：
- 在大量数据上训练各种类型的神经网络。
- 使用TPU将推理过程加速至多达两个数量级。
- 利用TPU处理图像搜索、云视觉和照片等密集型应用。
课程形式
- 部分讲座、部分讨论、练习和大量实践操作
如需获取此培训的定制课程大纲，请联系我们。
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