Deep Learning with TensorFlow 2培训

课程编码

tensorflow

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

  • Programming experience in Python.
  • Experience with the Linux command line.

Audience

  • Developers
  • Data Scientists

课程概览

TensorFlow是开发的流行和机器学习库Go眄深学习,数值计算和大规模机器学习。 TensorFlow 2.0于2019年1月发布,是TensorFlow的最新版本,包括对急切执行,兼容性和API一致性的改进。

这种以讲师为主导的现场培训(现场或远程)针对希望使用Tensorflow 2.0构建预测器,分类器,生成模型,神经网络等的开发人员和数据科学家。

在培训结束时,参与者将能够:

  • 安装和配置TensorFlow 2.0。
  • 了解TensorFlow 2.0与以前版本相比的优势。
  • 建立深度学习模型。
  • 实现高级图像分类器。
  • 将深度学习模型部署到云,移动和物联网设备。

课程格式

  • 互动讲座和讨论。
  • 大量的练习和练习。
  • 在实时实验室环境中亲自实施。

课程自定义选项

  • 要申请本课程的定制培训,请联系我们安排。
  • 要了解有关TensorFlow更多信息,请访问:https://www.tensorflow.org/

Machine Translated

课程大纲

Introduction

  • TensorFlow 2.x vs previous versions -- What's new

Setting up Tensoflow 2.x

Overview of TensorFlow 2.x Features and Architecture

How Neural Networks Work

Using TensorFlow 2.x to Create Deep Learning Models

Analyzing Data

Preprocessing Data

Building a Model

Implementing a State-of-the-Art Image Classifier

Training the Model

Training on a GPU vs a TPU

Evaluating the Model

Making Predictions

Evaluating the Predictions

Debugging the Model

Saving a Model

Deploying a Model to the Cloud

Deploying a Model to a Mobile Device

Deploying a Model to an Embedded System (IoT)

Integrating a Model with Different Languages

Troubleshooting

Summary and Conclusion

客户评论

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