3,756 個「 optimizing ml models 」的搜尋結果

依關聯性

VoiceTube 廣告

TF格子。用單調性控制你的ML (TF開發峰會'19) (TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19))

05:07

TF格子。用單調性控制你的ML (TF開發峰會'19) (TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19))

1

Runway 的 Gen 3 在人工智能視頻領域掀起了一場風暴！ (Gen 3 by Runway takes the AI Video space by storm!)

19:14

Runway 的 Gen 3 在人工智能視頻領域掀起了一場風暴！ (Gen 3 by Runway takes the AI Video space by storm!)

4

中文 B1 中級

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

11:56

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

3

7位模特兒公開了歧視和象徵主義 - 模特兒 - Vogue (7 Models Open Up About Discrimination and Tokenism | The Models | Vogue)

05:51

7位模特兒公開了歧視和象徵主義 - 模特兒 - Vogue (7 Models Open Up About Discrimination and Tokenism | The Models | Vogue)

3

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

05:27

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

1

16位模特解釋她們是如何起步的 - 模特們 - VOGUE (16 Models Explain How They Got Their Start | The Models | Vogue)

11:19

16位模特解釋她們是如何起步的 - 模特們 - VOGUE (16 Models Explain How They Got Their Start | The Models | Vogue)

4

循環神經網絡的ML（NLP Zero to Hero--第4部分）。 (ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4))

05:59

循環神經網絡的ML（NLP Zero to Hero--第4部分）。 (ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4))

5

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

40:59

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

4

蘋果iPhone 12活動在12分鐘內完成 (Apple iPhone 12 event in under 12 minutes)

11:29

蘋果iPhone 12活動在12分鐘內完成 (Apple iPhone 12 event in under 12 minutes)

14

中文 B1 中級

創建一個影像分類器（ML Zero to Hero，第4部分）。 (Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4))

06:26

創建一個影像分類器（ML Zero to Hero，第4部分）。 (Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4))

5

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducing convolutional neural networks (ML Zero to Hero, part 3))

05:33

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducing convolutional neural networks (ML Zero to Hero, part 3))

1

構建影像分類器（ML Zero to Hero，第4部分）。 (Construye un clasificador de imagen (ML Zero to Hero, parte 4))

05:50

構建影像分類器（ML Zero to Hero，第4部分）。 (Construye un clasificador de imagen (ML Zero to Hero, parte 4))

2

炒五常(Yakgochujang：약고추장)。 (Fried Gochujang (Yakgochujang: 약고추장))

06:29

炒五常(Yakgochujang：약고추장)。 (Fried Gochujang (Yakgochujang: 약고추장))

2

如何在你的ML項目中利用GPU和TPU（Coding TensorFlow）。 (How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow))

04:24

如何在你的ML項目中利用GPU和TPU（Coding TensorFlow）。 (How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow))

4

機器學習介紹（ML從零到100，第一部分 (Introdução ao Machine Learning (ML de Zero a 100, parte 1))

06:51

機器學習介紹（ML從零到100，第一部分 (Introdução ao Machine Learning (ML de Zero a 100, parte 1))

3

03 - 氫氣和氧氣的測試 (03 - Tests for hydrogen and oxygen gas)

03:02

03 - 氫氣和氧氣的測試 (03 - Tests for hydrogen and oxygen gas)

24

如何過渡到數據科學。從經濟學到數據科學 (How to Transition Into Data Science: From Economics to Data Science)

09:54

如何過渡到數據科學。從經濟學到數據科學 (How to Transition Into Data Science: From Economics to Data Science)

1

TFX管道是如何工作的？(TensorFlow Extended) (How do TFX pipelines work? (TensorFlow Extended))

05:00

TFX管道是如何工作的？(TensorFlow Extended) (How do TFX pipelines work? (TensorFlow Extended))

3

How to Pose Models: 5 Portrait Photography Tips with Dave Krugman（How to Pose Models: 5 Portrait Photography Tips with Dave Krugman）

03:33

How to Pose Models: 5 Portrait Photography Tips with Dave Krugman（How to Pose Models: 5 Portrait Photography Tips with Dave Krugman）

894

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

使用HFK的基本計算機視覺（HFK Zero to Hero，第二部分）。 (Computer vision básica con ML (ML Zero to Hero, parte 2))

06:20

使用HFK的基本計算機視覺（HFK Zero to Hero，第二部分）。 (Computer vision básica con ML (ML Zero to Hero, parte 2))

6

AP Biology Science Practice 1: Models and Representations

12:24

AP Biology Science Practice 1: Models and Representations

43

中文 B1 中級

公福沖泡茶多少錢？ (How Much Tea for Gong Fu Brewing?)

08:47

公福沖泡茶多少錢？ (How Much Tea for Gong Fu Brewing?)

199

字幕已審核

好髒好難清！如何有效清鞋子？(How To Clean Leather Shoes)

01:33

好髒好難清！如何有效清鞋子？(How To Clean Leather Shoes)

36569

中文 B2 中高級

8位模特談當今模特界的現實情況｜模特｜Vogue (8 Models on the Realities of Modeling Today | The Models | Vogue)

09:13

8位模特談當今模特界的現實情況｜模特｜Vogue (8 Models on the Realities of Modeling Today | The Models | Vogue)

卷積神經網絡介紹（ML零到英雄，第3部分 (Einfuehrung in Konvolutionale Neuronale Netzwerke (ML Zero to Hero, Teil 3))

05:54

卷積神經網絡介紹（ML零到英雄，第3部分 (Einfuehrung in Konvolutionale Neuronale Netzwerke (ML Zero to Hero, Teil 3))

3

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducción a las redes neuronales convolucionales (ML Zero to Hero, parte 3))

05:54

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducción a las redes neuronales convolucionales (ML Zero to Hero, parte 3))

2

$有模型的等效分數 (Equivalent fractions with models)$ 05:36

有模型的等效分數 (Equivalent fractions with models)

3

AI語言模型與變形金剛 - Computerphile (AI Language Models & Transformers - Computerphile)

20:40

AI語言模型與變形金剛 - Computerphile (AI Language Models & Transformers - Computerphile)

13

使用ML預測1型糖尿病的胰島素使用情況（TensorFlow Meets）。 (Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets))

12:48

使用ML預測1型糖尿病的胰島素使用情況（TensorFlow Meets）。 (Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets))

4

直播#184：使用ml5.js的uNet和BodyPix。 (Live Stream #184: uNet and BodyPix with ml5.js)

147:07

直播#184：使用ml5.js的uNet和BodyPix。 (Live Stream #184: uNet and BodyPix with ml5.js)

模型預測控制 (Model predictive control)

14:10

模型預測控制 (Model predictive control)

104

參與TensorFlow社區 (TF World '19) (Getting involved in the TensorFlow community (TF World '19))

31:26

參與TensorFlow社區 (TF World '19) (Getting involved in the TensorFlow community (TF World '19))

3

卷積神經網絡介紹（ML從零到100，第3部分 (Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3))

05:23

卷積神經網絡介紹（ML從零到100，第3部分 (Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3))

3

化學。組織、部門換算/維度分析介紹（第二部分）｜家庭作業輔導員 (Chemistry: Introduction to Unit Conversion / Dimensional Analysis (Part 2) | Homework Tutor)

04:48

化學。組織、部門換算/維度分析介紹（第二部分）｜家庭作業輔導員 (Chemistry: Introduction to Unit Conversion / Dimensional Analysis (Part 2) | Homework Tutor)

5

Megan Kacholia採訪（TensorFlow遇見）。 (Megan Kacholia interview (TensorFlow Meets))

07:25

Megan Kacholia採訪（TensorFlow遇見）。 (Megan Kacholia interview (TensorFlow Meets))

2

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

39:02

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

1

用面積模型乘法表達式 (Multiplying expressions with area models)

04:06

用面積模型乘法表達式 (Multiplying expressions with area models)

2

優化CSS。CSS教程（30天內CSS3的第28天）。 (Optimizing CSS: CSS Tutorial (Day 28 of CSS3 in 30 Days))

12:37

優化CSS。CSS教程（30天內CSS3的第28天）。 (Optimizing CSS: CSS Tutorial (Day 28 of CSS3 in 30 Days))

2

保理表達式的面積模型 (Area models for factoring expressions)

03:05

保理表達式的面積模型 (Area models for factoring expressions)

1

9位模特談減肥壓力和身體形象｜模特｜Vogue (9 Models on the Pressure to Lose Weight and Body Image | The Models | Vogue)

06:17

9位模特談減肥壓力和身體形象｜模特｜Vogue (9 Models on the Pressure to Lose Weight and Body Image | The Models | Vogue)

4

教師的房間。教學模式1 (The Teachers' Room: Teaching Models 1)

03:57

教師的房間。教學模式1 (The Teachers' Room: Teaching Models 1)

7

10個模型解釋了模特行業中危險的權力動態 - 模特 - Vogue (10 Models Explain the Dangerous Power Dynamics in the Modeling Industry | The Models | Vogue)

06:11

10個模型解釋了模特行業中危險的權力動態 - 模特 - Vogue (10 Models Explain the Dangerous Power Dynamics in the Modeling Industry | The Models | Vogue)

9

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

04:25

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

1

來自戰壕的TensorFlow和ML。JPL的創新體驗中心(TF Dev Summit '20) (TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20))

07:47

來自戰壕的TensorFlow和ML。JPL的創新體驗中心(TF Dev Summit '20) (TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20))

2

Inside TensorFlow：TF模型優化工具包（量化和剪枝）。 (Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning))

42:35

Inside TensorFlow：TF模型優化工具包（量化和剪枝）。 (Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning))

2