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课程大纲
介绍
Neural Networks 概述
了解卷积网络
设置 Keras
Keras 功能和体系结构概述
Keras 语法概述
了解 Keras 模型如何组织层
配置 Keras 后端(TensorFlow 或 Theano)
实现无监督学习模型
使用卷积神经网络 (CNN) 分析图像
预处理数据
训练模型
CPU 与 GPU 与 TPU 的训练
评估模型
使用预训练的 Deep Learning 模型
设置递归神经网络 (RNN)
调试模型
保存 模型
部署模型
使用 TensorBoard 监控 Keras 模型
故障 排除
总结和结论
要求
- Python 编程经验。
- 具有 Linux 命令行的经验。
观众
- 开发 人员
- 数据科学家
21 小时
客户评论 (3)
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
课程 - Artificial Neural Networks, Machine Learning, Deep Thinking
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
课程 - Introduction to Deep Learning
I was benefit from the passion to teach and focusing on making thing sensible.