10,000 個「 TensorFlow: Machine Learning for Programmers 」的搜尋結果

依關聯性

VoiceTube 廣告

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

21:59

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

6

TensorFlow和深度強化學習，不需要博士學位（Google I/O '18）。 (TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18))

40:47

TensorFlow和深度強化學習，不需要博士學位（Google I/O '18）。 (TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18))

2

雲端AI平臺上的分佈式TensorFlow模型訓練（TF Dev Summit '20）。 (Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20))

14:21

雲端AI平臺上的分佈式TensorFlow模型訓練（TF Dev Summit '20）。 (Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20))

2

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

08:53

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

2

分佈式TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

32:53

分佈式TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

4

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

15:14

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

2

Arun Subramaniyan討論概率建模(TensorFlow Meets) (Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets))

08:19

Arun Subramaniyan討論概率建模(TensorFlow Meets) (Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets))

2

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

41:11

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

4

分佈式TensorFlow訓練（谷歌I/O'18 (Distributed TensorFlow training (Google I/O '18))

35:27

分佈式TensorFlow訓練（谷歌I/O'18 (Distributed TensorFlow training (Google I/O '18))

2

TensorFlow內部。TF調試 (Inside TensorFlow: TF Debugging)

38:27

TensorFlow內部。TF調試 (Inside TensorFlow: TF Debugging)

2

TensorFlow Lite:在設備上運行ML的解決方案 (TF World '19) (TensorFlow Lite: Solution for running ML on-device (TF World '19))

33:43

TensorFlow Lite:在設備上運行ML的解決方案 (TF World '19) (TensorFlow Lite: Solution for running ML on-device (TF World '19))

2

TensorFlow模型優化。量化和修剪(TF World'19) (TensorFlow model optimization: Quantization and pruning (TF World '19))

40:50

TensorFlow模型優化。量化和修剪(TF World'19) (TensorFlow model optimization: Quantization and pruning (TF World '19))

1

使用TensorFlow進行研究（TF Dev Summit '20）。 (Research with TensorFlow (TF Dev Summit '20))

16:01

使用TensorFlow進行研究（TF Dev Summit '20）。 (Research with TensorFlow (TF Dev Summit '20))

1

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

06:44

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

7

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

17:21

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

2

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

06:56

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

2

TFRT：一個新的TensorFlow運行時(TF Dev Summit '20) (TFRT: A new TensorFlow runtime (TF Dev Summit '20))

10:10

TFRT：一個新的TensorFlow運行時(TF Dev Summit '20) (TFRT: A new TensorFlow runtime (TF Dev Summit '20))

4

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

10:19

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

1

在Codice Ratio。梵蒂岡祕密檔案中的機器轉錄(TF Dev Summit '19) (In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19))

11:22

在Codice Ratio。梵蒂岡祕密檔案中的機器轉錄(TF Dev Summit '19) (In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19))

9

TensorFlow內部：TensorFlow Lite (Inside TensorFlow: TensorFlow Lite)

37:31

TensorFlow內部：TensorFlow Lite (Inside TensorFlow: TensorFlow Lite)

2

專注於你的實驗與TensorFlow估計器（TensorFlow滿足 (Focus on your experiment with TensorFlow Estimators (TensorFlow Meets))

08:11

專注於你的實驗與TensorFlow估計器（TensorFlow滿足 (Focus on your experiment with TensorFlow Estimators (TensorFlow Meets))

3

如何不讀懂這個房間。創建社交尷尬的可穿戴設備，作者：Stephanie Nemeth | JSConf BP 2019。 (How not to read the room: Creating socially awkward wearables by Stephanie Nemeth | JSConf BP 2019)

26:35

如何不讀懂這個房間。創建社交尷尬的可穿戴設備，作者：Stephanie Nemeth | JSConf BP 2019。 (How not to read the room: Creating socially awkward wearables by Stephanie Nemeth | JSConf BP 2019)

1

在TensorFlow與核物理學的交叉點上（TensorFlow遇見 (At the intersection of TensorFlow & nuclear physics (TensorFlow Meets))

07:57

在TensorFlow與核物理學的交叉點上（TensorFlow遇見 (At the intersection of TensorFlow & nuclear physics (TensorFlow Meets))

3

TensorFlow和R中的Keras--Josh Gordon與J.J. Allaire會面（TensorFlow會面）。 (TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets))

08:20

TensorFlow和R中的Keras--Josh Gordon與J.J. Allaire會面（TensorFlow會面）。 (TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets))

1

2016年CS50--第七週--機器學習 (CS50 2016 - Week 7 - Machine Learning)

82:56

2016年CS50--第七週--機器學習 (CS50 2016 - Week 7 - Machine Learning)

206

你好世界--機器學習食譜#1 (Hello World - Machine Learning Recipes #1)

06:53

你好世界--機器學習食譜#1 (Hello World - Machine Learning Recipes #1)

66

利用高性能計算進行基礎科學的深度學習（O'Reilly AI Conference）。 (Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference))

26:36

利用高性能計算進行基礎科學的深度學習（O'Reilly AI Conference）。 (Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference))

1

由TensorFlow提供支持：利用深度學習來更好地預測極端天氣。 (Powered by TensorFlow: utilizing deep learning to better predict extreme weather)

02:43

由TensorFlow提供支持：利用深度學習來更好地預測極端天氣。 (Powered by TensorFlow: utilizing deep learning to better predict extreme weather)

9

構建一個神經網絡來運行分類（葡萄牙語編碼TensorFlow）。 (Construa uma rede neural para executar a classificação (Coding TensorFlow em português))

07:31

構建一個神經網絡來運行分類（葡萄牙語編碼TensorFlow）。 (Construa uma rede neural para executar a classificação (Coding TensorFlow em português))

4

解決你的模型的過擬合和欠擬合問題--Pt.2（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.2 (Coding TensorFlow))

04:52

解決你的模型的過擬合和欠擬合問題--Pt.2（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.2 (Coding TensorFlow))

2

在訓練中使用回調，在TF 2.0中入門，以及更多！(#AskTensorFlow)(#AskTensorFlow) (Using callbacks in training, getting started in TF 2.0, & more! (#AskTensorFlow))

13:43

在訓練中使用回調，在TF 2.0中入門，以及更多！(#AskTensorFlow)(#AskTensorFlow) (Using callbacks in training, getting started in TF 2.0, & more! (#AskTensorFlow))

3

計算機科學基礎知識。我應該學習代碼嗎？ (Computer Science Basics: Should I Learn to Code?)

02:08

計算機科學基礎知識。我應該學習代碼嗎？ (Computer Science Basics: Should I Learn to Code?)

11

中文 A2 初級

在TensorFlow中使用GPU，在筆記本中使用TensorBoard，尋找新的數據集，等等(#AskTensorFlow) (Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow))

12:56

在TensorFlow中使用GPU，在筆記本中使用TensorBoard，尋找新的數據集，等等(#AskTensorFlow) (Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow))

2

TensorFlow開發峰會2019亮點#機器學習 (TensorFlow Dev Summit 2019 Highlights #MachineLearning)

01:37

TensorFlow開發峰會2019亮點#機器學習 (TensorFlow Dev Summit 2019 Highlights #MachineLearning)

11

主動（機器）學習 - Computerphile (Active (Machine) Learning - Computerphile)

06:11

主動（機器）學習 - Computerphile (Active (Machine) Learning - Computerphile)

10

Edge TPU現場演示。珊瑚開發板和微控制器 (TF開發峰會'19) (Edge TPU live demo: Coral Dev Board & Microcontrollers (TF Dev Summit '19))

15:53

Edge TPU現場演示。珊瑚開發板和微控制器 (TF開發峰會'19) (Edge TPU live demo: Coral Dev Board & Microcontrollers (TF Dev Summit '19))

1

解決你的模型的過擬合和欠擬合問題--Pt.1（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow))

04:43

解決你的模型的過擬合和欠擬合問題--Pt.1（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow))

3

通過ML實現超聲的民主化（TF Dev Summit '19）。 (Democratizing Ultrasound via ML (TF Dev Summit '19))

05:15

通過ML實現超聲的民主化（TF Dev Summit '19）。 (Democratizing Ultrasound via ML (TF Dev Summit '19))

2

機器學習的7個步驟 (The 7 Steps of Machine Learning)

10:36

機器學習的7個步驟 (The 7 Steps of Machine Learning)

133

TensorFlow 1與TensorFlow 2：新TF更好嗎？ (TensorFlow 1 vs TensorFlow 2: Is the new TF better?)

02:33

TensorFlow 1與TensorFlow 2：新TF更好嗎？ (TensorFlow 1 vs TensorFlow 2: Is the new TF better?)

1

機器學習介紹 (Introduction to Machine Learning)

02:54

機器學習介紹 (Introduction to Machine Learning)

95

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

04:45

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

27

什麼是機器學習？ (What is Machine Learning?)

05:23

什麼是機器學習？ (What is Machine Learning?)

168

訓練人工智能。6分鐘英語 (Training artificial intelligence: 6 Minute English)

06:35

訓練人工智能。6分鐘英語 (Training artificial intelligence: 6 Minute English)

25

與TensorBoard.dev合作的ML (TF Dev Summit '20) (Collaborative ML with TensorBoard.dev (TF Dev Summit '20))

05:47

與TensorBoard.dev合作的ML (TF Dev Summit '20) (Collaborative ML with TensorBoard.dev (TF Dev Summit '20))

1

用Tensorflow進行深度學習--張力器、變量和佔位符。 (Deep Learning with Tensorflow - Tensors, Variables and Placeholders)

04:51

用Tensorflow進行深度學習--張力器、變量和佔位符。 (Deep Learning with Tensorflow - Tensors, Variables and Placeholders)

96