758 個「 api tensorflow 」的搜尋結果

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VoiceTube 廣告

用Node.js創建一個分頁的API--完整的教程。 (Create A Paginated API With Node.js - Complete Tutorial)

23:21

用Node.js創建一個分頁的API--完整的教程。 (Create A Paginated API With Node.js - Complete Tutorial)

4

編碼-自己動手!Sound Synthesizer #4 - Waveout API, Sequencing & Ducktales. (Code-It-Yourself! Sound Synthesizer #4 - Waveout API, Sequencing & Ducktales)

24:05

編碼-自己動手!Sound Synthesizer #4 - Waveout API, Sequencing & Ducktales. (Code-It-Yourself! Sound Synthesizer #4 - Waveout API, Sequencing & Ducktales)

3

如何使用 ChatGPT 制定最完美的自學計劃（逐步提示指南） (How To Make The ULTIMATE Self Study Plan With ChatGPT (step by step prompting guide))

16:40

如何使用 ChatGPT 制定最完美的自學計劃（逐步提示指南） (How To Make The ULTIMATE Self Study Plan With ChatGPT (step by step prompting guide))

9

中文 B1 中級

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

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

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

與格蘭特-今原一起設計未來之家的大腦 (Designing the brain of the Home of the Future with Grant Imahara)

08:40

與格蘭特-今原一起設計未來之家的大腦 (Designing the brain of the Home of the Future with Grant Imahara)

8

中文 B1 中級

如何安裝Qiskit-在Quantum Computers 上編程第2集（How to Install Qiskit — Programming on Quantum Computers Season 1 Ep 2）

09:22

如何安裝Qiskit-在Quantum Computers 上編程第2集（How to Install Qiskit — Programming on Quantum Computers Season 1 Ep 2）

12

百秒瘦身 (Svelte in 100 Seconds)

02:12

百秒瘦身 (Svelte in 100 Seconds)

14

中文 B2 中高級

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

使用TensorFlow的自然語言處理2--初級課程 (Natural Language Processing with TensorFlow 2 - Beginner's Course)

95:44

使用TensorFlow的自然語言處理2--初級課程 (Natural Language Processing with TensorFlow 2 - Beginner's Course)

3

開始使用Google Colaboratory（編碼TensorFlow）。 (Get started with Google Colaboratory (Coding TensorFlow))

03:10

開始使用Google Colaboratory（編碼TensorFlow）。 (Get started with Google Colaboratory (Coding TensorFlow))

2

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

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

20:34

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

67

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

138:46

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

2

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

05:33

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

1

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

05:32

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

1

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

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

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

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

DevByte:Google Play服務7.8 (Google開發100天) (DevByte: Google Play services 7.8 (100 Days of Google Dev))

05:35

DevByte:Google Play服務7.8 (Google開發100天) (DevByte: Google Play services 7.8 (100 Days of Google Dev))

93

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

1.6 用setInterval()刷新數據--在JavaScript中使用數據和API。 (1.6 Refreshing Data with setInterval() - Working with Data and APIs in JavaScript)

08:44

1.6 用setInterval()刷新數據--在JavaScript中使用數據和API。 (1.6 Refreshing Data with setInterval() - Working with Data and APIs in JavaScript)

4

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

05:14

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

1

構建影像分類器(法語編碼TensorFlow) (Construire un classifieur d'images (Coding TensorFlow en français))

05:42

構建影像分類器(法語編碼TensorFlow) (Construire un classifieur d'images (Coding TensorFlow en français))

2

設計神經網絡｜文本分類教程Pt.2 (編碼TensorFlow) (Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow))

06:03

設計神經網絡｜文本分類教程Pt.2 (編碼TensorFlow) (Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow))

5

Node.js Core中的Web APIs。過去、現在和未來，由Joyee Cheung主持｜JSConf EU 2019 (Web APIs in Node.js Core: Past, Present, and Future by Joyee Cheung | JSConf EU 2019)

23:43

Node.js Core中的Web APIs。過去、現在和未來，由Joyee Cheung主持｜JSConf EU 2019 (Web APIs in Node.js Core: Past, Present, and Future by Joyee Cheung | JSConf EU 2019)

2

編碼挑戰＃122.2。2：快，畫！續 (Coding Challenge #122.2: Quick, Draw! Continued)

15:14

編碼挑戰＃122.2。2：快，畫！續 (Coding Challenge #122.2: Quick, Draw! Continued)

3

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

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

02:44

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

4

皮膚癌影像分類（2017年TensorFlow發展峰會）。 (Skin Cancer Image Classification (TensorFlow Dev Summit 2017))

08:39

皮膚癌影像分類（2017年TensorFlow發展峰會）。 (Skin Cancer Image Classification (TensorFlow Dev Summit 2017))

54

TensorFlow.jl:TensorFlow世界的Julia前端 (TF Dev Summit '19) (TensorFlow.jl: A Julia Front End to the TensorFlow World (TF Dev Summit '19))

05:27

TensorFlow.jl:TensorFlow世界的Julia前端 (TF Dev Summit '19) (TensorFlow.jl: A Julia Front End to the TensorFlow World (TF Dev Summit '19))

2

谷歌的秘密驚喜 (Google I/O 2011: Secrets and surprises of the Google Geo APIs)

59:17

谷歌的秘密驚喜 (Google I/O 2011: Secrets and surprises of the Google Geo APIs)

3765

I/O'18指南 - 谷歌雲 (I/O '18 Guide - Google Cloud)

07:41

I/O'18指南 - 谷歌雲 (I/O '18 Guide - Google Cloud)

38

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

05:54

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

3

克勞德 3.5 版初探 [2024 年 6 月更新］ (First Look at Claude 3.5 [June 2024 update])

12:18

克勞德 3.5 版初探 [2024 年 6 月更新］ (First Look at Claude 3.5 [June 2024 update])

12

中文 A2 初級

Oliver Zeigermann - 高級用戶體驗與tensorflow.js | JSUnconf 2019 (Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019)

29:10

Oliver Zeigermann - 高級用戶體驗與tensorflow.js | JSUnconf 2019 (Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019)

5

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

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

陽光工程介紹--開發Android應用 (Introducing Project Sunshine - Developing Android Apps)

01:17

陽光工程介紹--開發Android應用 (Introducing Project Sunshine - Developing Android Apps)

112

Flutter TDD 清潔架構課程 [1] - 說明與項目結構 (Flutter TDD Clean Architecture Course [1] – Explanation & Project Structure)

24:36

Flutter TDD 清潔架構課程 [1] - 說明與項目結構 (Flutter TDD Clean Architecture Course [1] – Explanation & Project Structure)

10

中文 B1 中級

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

用網絡音頻API解讀腦電波，由Braden Moore主持｜JSConf Budapest 2019 (Deciphering Brainwaves with the Web Audio API by Braden Moore | JSConf Budapest 2019)

27:23

用網絡音頻API解讀腦電波，由Braden Moore主持｜JSConf Budapest 2019 (Deciphering Brainwaves with the Web Audio API by Braden Moore | JSConf Budapest 2019)

3

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