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課程簡介
介紹
Neural Networks 概述
了解卷積網路
設定Keras
Keras 功能和體系結構概述
Keras 語法概述
瞭解 Keras 模型如何組織層
配置 Keras 後端(TensorFlow 或 Theano)
實現無監督學習模型
使用卷積神經網路 (CNN) 分析圖像
預處理數據
訓練模型
CPU 與 GPU 與 TPU 的訓練
評估模型
使用預訓練的 Deep Learning 模型
設定遞迴神經網路 (RNN)
調試模型
保存 模型
部署模型
使用 TensorBoard 監控 Keras 模型
故障排除
總結和結論
最低要求
- Python 程式設計經驗。
- 具有 Linux 命令行的經驗。
觀眾
- 開發人員
- 數據科學家
21 時間:
客戶評論 (4)
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
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
Very flexible
Frank Ueltzhöffer
Course - Artificial Neural Networks, Machine Learning and Deep Thinking
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning
I was benefit from the passion to teach and focusing on making thing sensible.