10,000 個「 tensorflow and google colab 」的搜尋結果

依關聯性

VoiceTube 廣告

用tf.text建立模型(TF World '19) (Building models with tf.text (TF World '19))

39:33

用tf.text建立模型(TF World '19) (Building models with tf.text (TF World '19))

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

Swift for TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

12:35

Swift for TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

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

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

41:48

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

3

參與到TF社區中來 (TF開發峰會'20) (Getting involved in the TF community (TF Dev Summit '20))

09:25

參與到TF社區中來 (TF開發峰會'20) (Getting involved in the TF community (TF Dev Summit '20))

2

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

45:00

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

3

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

07:36

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

2

編碼Tensorflow - 第1集 (Coding Tensorflow en Español - Episodio 1)

08:51

編碼Tensorflow - 第1集 (Coding Tensorflow en Español - Episodio 1)

4

TensorFlow與Laurence和他的大腦相遇(TensorFlow相遇) (TensorFlow Meets with Laurence and his brain (TensorFlow Meets))

00:27

TensorFlow與Laurence和他的大腦相遇(TensorFlow相遇) (TensorFlow Meets with Laurence and his brain (TensorFlow Meets))

5

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

13:57

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

1

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

TensorFlow Lite (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (TensorFlow Lite (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

17:41

TensorFlow Lite (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (TensorFlow Lite (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

TF 2中的性能剖析（TF開發峰會'20) (Performance profiling in TF 2 (TF Dev Summit '20))

09:47

TF 2中的性能剖析（TF開發峰會'20) (Performance profiling in TF 2 (TF Dev Summit '20))

5

TensorFlow Profiler演示 (TF Dev Summit '20) (TensorFlow Profiler demo (TF Dev Summit '20))

07:51

TensorFlow Profiler演示 (TF Dev Summit '20) (TensorFlow Profiler demo (TF Dev Summit '20))

3

TensorFlow內部：摘要和TensorBoard (Inside TensorFlow: Summaries and TensorBoard)

43:23

TensorFlow內部：摘要和TensorBoard (Inside TensorFlow: Summaries and TensorBoard)

1

用TensorFlow Federated進行聯邦學習(TF World '19) (Federated learning with TensorFlow Federated (TF World '19))

44:44

用TensorFlow Federated進行聯邦學習(TF World '19) (Federated learning with TensorFlow Federated (TF World '19))

4

TensorFlow內部。資源和變種 (Inside TensorFlow: Resources and Variants)

46:55

TensorFlow內部。資源和變種 (Inside TensorFlow: Resources and Variants)

2

Kemal El Moujahid採訪（TensorFlow Meets）。 (Kemal El Moujahid interview (TensorFlow Meets))

12:16

Kemal El Moujahid採訪（TensorFlow Meets）。 (Kemal El Moujahid interview (TensorFlow Meets))

3

TensorFlow的發展，增加了對JS和Swift的支持（TensorFlow Meets）。 (The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets))

07:04

TensorFlow的發展，增加了對JS和Swift的支持（TensorFlow Meets）。 (The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets))

8

TensorFlow內部：tf.data + tf.distributed。 (Inside TensorFlow: tf.data + tf.distribute)

46:24

TensorFlow內部：tf.data + tf.distributed。 (Inside TensorFlow: tf.data + tf.distribute)

6

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

21:17

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

8

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

08:35

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

3

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

10:48

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

5

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

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

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

44:45

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

407

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

像跳舞一樣，是一款利用機器學習幫助用戶學習舞蹈的應用。 (Dance Like, an app that helps users learn how to dance using machine learning)

01:18

像跳舞一樣，是一款利用機器學習幫助用戶學習舞蹈的應用。 (Dance Like, an app that helps users learn how to dance using machine learning)

7

保存和加載模型(TensorFlow編碼) (Saving and Loading Models (Coding TensorFlow))

06:53

保存和加載模型(TensorFlow編碼) (Saving and Loading Models (Coding TensorFlow))

1

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

20:21

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

3

字幕已審核

Google Now 登陸iOS 平台 - Google Now for iPhone and iPad

00:44

Google Now 登陸iOS 平台 - Google Now for iPhone and iPad

495

中文 A2 初級

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

使用TensorFlow對服裝影像進行分類（Coding TensorFlow）。 (Use TensorFlow to classify clothing images (Coding TensorFlow))

07:42

使用TensorFlow對服裝影像進行分類（Coding TensorFlow）。 (Use TensorFlow to classify clothing images (Coding TensorFlow))

9

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

16:30

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

1

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

05:47

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

57

Google Drive。共享和協作 (Google Drive: Sharing and Collaborating)

03:14

Google Drive。共享和協作 (Google Drive: Sharing and Collaborating)

45

中文 A2 初級

TensorFlow是如何不斷改進的（TensorFlow Meet (How TensorFlow keeps improving (TensorFlow Meets))

06:39

TensorFlow是如何不斷改進的（TensorFlow Meet (How TensorFlow keeps improving (TensorFlow Meets))

2

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

260:18

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

3

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

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

01:22

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

9

量子神經網絡的層智學習（TF Dev Summit '20）。 (Layer-wise learning for quantum neural networks (TF Dev Summit '20))

05:11

量子神經網絡的層智學習（TF Dev Summit '20）。 (Layer-wise learning for quantum neural networks (TF Dev Summit '20))

3

升級您現有的TensorFlow 2.0代碼（編碼TensorFlow）。 (Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow))

03:17

升級您現有的TensorFlow 2.0代碼（編碼TensorFlow）。 (Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow))

1

谷歌文檔：頁眉和頁腳 (Google Docs: Headers and Footers)

03:03

谷歌文檔：頁眉和頁腳 (Google Docs: Headers and Footers)

6

中文 B1 中級

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

回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

15:40

回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

2