2,383 個「 neural networks tensorflow 」的搜尋結果

依關聯性

VoiceTube 廣告

用Keras使用TensorBoard（TensorFlow一週小技巧）。 (Using TensorBoard with Keras (TensorFlow Tip of the Week))

01:58

用Keras使用TensorBoard（TensorFlow一週小技巧）。 (Using TensorBoard with Keras (TensorFlow Tip of the Week))

3

為Keras快速獲取CSV到數據集中（TensorFlow本週小技巧）。 (Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week))

01:58

為Keras快速獲取CSV到數據集中（TensorFlow本週小技巧）。 (Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week))

3

用MNIST生成--非常規神經網絡第3頁。 (Generating with MNIST - Unconventional Neural Networks p.3)

10:16

用MNIST生成--非常規神經網絡第3頁。 (Generating with MNIST - Unconventional Neural Networks p.3)

1

Sonnet 2.0 (TF Dev Summit '19) (Sonnet 2.0 (TF Dev Summit ‘19))

14:27

Sonnet 2.0 (TF Dev Summit '19) (Sonnet 2.0 (TF Dev Summit ‘19))

4

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

05:23

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

1

複雜數學結果--非常規神經網絡第12頁 (Complex Math Results - Unconventional Neural Networks p.12)

16:26

複雜數學結果--非常規神經網絡第12頁 (Complex Math Results - Unconventional Neural Networks p.12)

1

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

04:50

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

2

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

07:37

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

2

JavaScript和AI的未來，阿西姆-侯賽因｜JSConf.Asia 2019年。 (The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019)

33:50

JavaScript和AI的未來，阿西姆-侯賽因｜JSConf.Asia 2019年。 (The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019)

1

面向移動開發者的TensorFlow Lite (Google I/O '18) (TensorFlow Lite for mobile developers (Google I/O '18))

37:07

面向移動開發者的TensorFlow Lite (Google I/O '18) (TensorFlow Lite for mobile developers (Google I/O '18))

3

TensorFlow 2.0升級，Python支持，以及更多！ (#AskTensorFlow)(#AskTensorFlow) (TensorFlow 2.0 upgrade, Python support, & more! (#AskTensorFlow))

11:51

TensorFlow 2.0升級，Python支持，以及更多！ (#AskTensorFlow)(#AskTensorFlow) (TensorFlow 2.0 upgrade, Python support, & more! (#AskTensorFlow))

2

兩分鐘論文--用輟學訓練深度神經網絡。 (Two Minute Papers - Training Deep Neural Networks With Dropout)

03:29

兩分鐘論文--用輟學訓練深度神經網絡。 (Two Minute Papers - Training Deep Neural Networks With Dropout)

75

構建神經網絡模型--《星際爭霸II》中的Python AI教程第10頁 (Building Neural Network Model - Python AI in StarCraft II tutorial p.10)

13:37

構建神經網絡模型--《星際爭霸II》中的Python AI教程第10頁 (Building Neural Network Model - Python AI in StarCraft II tutorial p.10)

3

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

86:41

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

6

CASTING NETWORKS 正在欺騙演員--您需要知道如何阻止它 (CASTING NETWORKS IS SCAMMING ACTORS - What you need to know to stop it)

02:57

CASTING NETWORKS 正在欺騙演員--您需要知道如何阻止它 (CASTING NETWORKS IS SCAMMING ACTORS - What you need to know to stop it)

3

中文 B1 中級

深層夢境框架-非常規神經網絡第8頁。 (Deep Dream Frames- Unconventional Neural Networks p.8)

09:36

深層夢境框架-非常規神經網絡第8頁。 (Deep Dream Frames- Unconventional Neural Networks p.8)

1

第1講 | 視覺識別的卷積神經網絡簡介 (Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition)

57:57

第1講 | 視覺識別的卷積神經網絡簡介 (Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition)

153

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

17:09

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

1

TensorFlow內部：TF-Agent (Inside TensorFlow: TF-Agents)

49:59

TensorFlow內部：TF-Agent (Inside TensorFlow: TF-Agents)

5

TensorFlow--移動平臺的深度學習解決方案（TensorFlow遇見）。 (TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets))

08:10

TensorFlow--移動平臺的深度學習解決方案（TensorFlow遇見）。 (TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets))

3

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

39:10

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

3

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

03:25

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

145

TensorFlow Hub。讓模型發現變得簡單（TF Dev Summit '20) (TensorFlow Hub: Making model discovery easy (TF Dev Summit '20))

09:03

TensorFlow Hub。讓模型發現變得簡單（TF Dev Summit '20) (TensorFlow Hub: Making model discovery easy (TF Dev Summit '20))

1

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:41

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

利用英特爾神經計算棒2在網絡邊緣開發AI。 (Develop AI at the Network Edge with Intel Neural Compute Stick 2 )

02:01

利用英特爾神經計算棒2在網絡邊緣開發AI。 (Develop AI at the Network Edge with Intel Neural Compute Stick 2 )

29

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

05:09

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

2

分類發生器測試嘗試--非常規神經網絡第5頁 (Classification Generator Testing Attempt - Unconventional Neural Networks p.5)

12:06

分類發生器測試嘗試--非常規神經網絡第5頁 (Classification Generator Testing Attempt - Unconventional Neural Networks p.5)

2

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

05:12

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

2

使用TensorFlow數據集(TensorFlow Meet) (Working with TensorFlow Datasets (TensorFlow Meets))

08:11

使用TensorFlow數據集(TensorFlow Meet) (Working with TensorFlow Datasets (TensorFlow Meets))

1

數據--用Python和Pytorch進行深度學習和神經網絡 p.2 (Data - Deep Learning and Neural Networks with Python and Pytorch p.2)

28:17

數據--用Python和Pytorch進行深度學習和神經網絡 p.2 (Data - Deep Learning and Neural Networks with Python and Pytorch p.2)

3

分類生成器訓練嘗試--非常規神經網絡第4頁。 (Classification Generator Training Attempt - Unconventional Neural Networks p.4)

18:58

分類生成器訓練嘗試--非常規神經網絡第4頁。 (Classification Generator Training Attempt - Unconventional Neural Networks p.4)

3

神經結構化學習--第四部分：影像分類的對抗性學習 (Neural Structured Learning - Part 4: Adversarial learning for image classification)

08:06

神經結構化學習--第四部分：影像分類的對抗性學習 (Neural Structured Learning - Part 4: Adversarial learning for image classification)

2

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

07:26

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

2

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

05:15

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

3

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

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

05:16

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

4

工具包介紹｜英特爾發行的OpenVINO工具包｜eWorkshop｜英特爾軟件 (Toolkit Introduction | Intel Distribution of OpenVINO Toolkit | eWorkshop | Intel Software)

04:25

工具包介紹｜英特爾發行的OpenVINO工具包｜eWorkshop｜英特爾軟件 (Toolkit Introduction | Intel Distribution of OpenVINO Toolkit | eWorkshop | Intel Software)

20

但什麼是神經網絡？ (But what is a Neural Network?)

19:13

但什麼是神經網絡？ (But what is a Neural Network?)

237

中文 B1 中級

ml5.js：用像素作為輸入來訓練神經網絡。 (ml5.js: Train a Neural Network with Pixels as Input)

18:38

ml5.js：用像素作為輸入來訓練神經網絡。 (ml5.js: Train a Neural Network with Pixels as Input)

2

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

42:15

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

2

用TensorFlow和Keras學習閱讀(TF Dev Summit '20) (Learning to read with TensorFlow and Keras (TF Dev Summit '20))

15:36

用TensorFlow和Keras學習閱讀(TF Dev Summit '20) (Learning to read with TensorFlow and Keras (TF Dev Summit '20))

3

神經結構化學習--第1部分。框架概述 (Neural Structured Learning - Part 1: Framework overview)

05:13

神經結構化學習--第1部分。框架概述 (Neural Structured Learning - Part 1: Framework overview)

3

可口可樂公司使用TensorFlow進行數字營銷活動（TensorFlow遇見）。 (The Coca-Cola Company using TensorFlow for digital marketing campaigns (TensorFlow Meets))

07:46

可口可樂公司使用TensorFlow進行數字營銷活動（TensorFlow遇見）。 (The Coca-Cola Company using TensorFlow for digital marketing campaigns (TensorFlow Meets))

2

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

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

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

58:31

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

1