口說挑戰
單字單句本
字典查詢
Campus 教育版
Hero 智能學習
Tutor 真人家教
Vclass 名師課程
Dori AI練口說

Footer

關於

認識 VoiceTube
學習服務介紹
加入我們
常見問題

熱門搜尋主題
企業英文培訓
社群推廣分潤計畫

服務總覽

口說挑戰
單字單句本
Hero 智能學習
Tutor 真人家教
Vclass 名師課程
Campus 教育版
字典查詢
匯入影片並生成字幕
部落格

精選頻道

影片分級

A1 初級
A2 初級
B1 中級
B2 中高級
C1 高級
C2 高級

隱私權˙條款˙

©2026 VoiceTube Corporation. All rights reserved

4,394 個「 tensorflow neural network 」的搜尋結果

依關聯性

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

76:41

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

4

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))

6

TensorFlow開發峰會2018 - Livestream (TensorFlow Dev Summit 2018 - Livestream)

478:22

TensorFlow開發峰會2018 - Livestream (TensorFlow Dev Summit 2018 - Livestream)

7

TensorFlow開發峰會2019生活流 (TensorFlow Dev Summit 2019 Livestream)

541:44

TensorFlow開發峰會2019生活流 (TensorFlow Dev Summit 2019 Livestream)

10

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))

4

雲計算TPU（TensorFlow @ O'Reilly AI大會，18年舊金山）。 (Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

22:09

雲計算TPU（TensorFlow @ O'Reilly AI大會，18年舊金山）。 (Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

6

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)

2

從零開始的神經網絡公告 (Neural Networks from Scratch announcement)

11:35

從零開始的神經網絡公告 (Neural Networks from Scratch announcement)

2

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

37:32

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

5

自然語言處理--標記化（NLP從零到英雄，第1部分 (Natural Language Processing - Tokenization (NLP Zero to Hero, part 1))

04:39

自然語言處理--標記化（NLP從零到英雄，第1部分 (Natural Language Processing - Tokenization (NLP Zero to Hero, part 1))

10

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))

5

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))

3

變壓器詳解了解 GPT、BERT 和 T5 背後的模型 (Transformers, explained: Understand the model behind GPT, BERT, and T5)

09:11

變壓器詳解了解 GPT、BERT 和 T5 背後的模型 (Transformers, explained: Understand the model behind GPT, BERT, and T5)

18

中文 B1 中級

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

31:43

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

3

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))

6

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)

7

ml5：神經網絡迴歸 (ml5: Neural Network Regression)

09:51

ml5：神經網絡迴歸 (ml5: Neural Network Regression)

4

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))

2

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

38:32

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

4

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)

6

NVidia TensorRT：高性能深度學習推理加速器(TensorFlow Meets) (NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets))

08:07

NVidia TensorRT：高性能深度學習推理加速器(TensorFlow Meets) (NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets))

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

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))

7

安妮的故事。從學生到星球獵人 (Anne’s Story: From student to planet hunter)

02:59

安妮的故事。從學生到星球獵人 (Anne’s Story: From student to planet hunter)

4

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

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))

4

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))

4

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)

10

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)

5

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))

4

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

16:07

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

2

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)

5

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

訓練神經網絡--《星際爭霸II》中的Python AI教程第11頁 (Training Neural Network - Python AI in StarCraft II tutorial p.11)

22:52

訓練神經網絡--《星際爭霸II》中的Python AI教程第11頁 (Training Neural Network - Python AI in StarCraft II tutorial p.11)

5

Deep Q Learning w/ DQN - Reinforcement Learning p.5 (Deep Q Learning w/ DQN - Reinforcement Learning p.5)

32:19

Deep Q Learning w/ DQN - Reinforcement Learning p.5 (Deep Q Learning w/ DQN - Reinforcement Learning p.5)

9

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))

3

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

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))

6

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

34:49

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

3

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))

4

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))

4

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

33:35

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

5

將TensorFlow 2模型擴展到多工作站GPU（TF Dev Summit '20）。 (Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20))

16:15

將TensorFlow 2模型擴展到多工作站GPU（TF Dev Summit '20）。 (Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20))

3

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))

2

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))

4

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))

2

1
2
3
4
5
...
96