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課程簡介
TensorFlow 基礎知識
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創建、初始化、保存和恢復 TensorFlow 變數
進給、讀取和預載入 TensorFlow 數據
如何使用 TensorFlow 基礎結構大規模訓練模型
使用 TensorBoard 視覺化和評估模型
TensorFlow 力學
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輸入和佔位元
構建 GraphS
推理
損失
訓練
從感知器到支援向量機
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內核和內核技巧
最大邊距分類和支援向量
人造 Neural Networks
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非線性決策邊界
前饋和反饋人工神經網路
多層感知器
最小化成本函數
前向傳播
反向傳播
改進神經網路的學習方式
捲積 Neural Networks
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GoALS
模型架構
原則
代碼組織
啟動和訓練模型
評估模型
最低要求
物理、數學和程式設計背景。參與圖像處理活動。
28 時間:
客戶評論 (5)
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane
Course - Neural Networks Fundamentals using TensorFlow as Example
Very good all round overview.Good background into why Tensorflow operates as it does.
Kieran Conboy
Course - Neural Networks Fundamentals using TensorFlow as Example
I was amazed at the standard of this class - I would say that it was university standard.
David Relihan
Course - Neural Networks Fundamentals using TensorFlow as Example
Knowledgeable trainer
Sridhar Voorakkara
Course - Neural Networks Fundamentals using TensorFlow as Example
I really appreciated the crystal clear answers of Chris to our questions.