930 個「 leetcode python 」的搜尋結果

依關聯性

VoiceTube 廣告

魯保羅回答了越來越多的個人問題｜慢鏡頭｜名利場 (RuPaul Answers Increasingly Personal Questions | Slow Zoom | Vanity Fair)

15:52

魯保羅回答了越來越多的個人問題｜慢鏡頭｜名利場 (RuPaul Answers Increasingly Personal Questions | Slow Zoom | Vanity Fair)

2

TensorFlow開源社區與合作(TF Dev Summit '19) (TensorFlow Open Source Community And Collaboration (TF Dev Summit '19))

13:24

TensorFlow開源社區與合作(TF Dev Summit '19) (TensorFlow Open Source Community And Collaboration (TF Dev Summit '19))

3

學習來自電視節目的英語表達。朋友》、《宋飛》、《搖滾30分》... (Learn English expressions that come from TV shows: Friends, Seinfeld, 30 Rock...)

14:11

學習來自電視節目的英語表達。朋友》、《宋飛》、《搖滾30分》... (Learn English expressions that come from TV shows: Friends, Seinfeld, 30 Rock...)

23

中文 A2 初級

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))

2

我的代碼怎麼這麼快。 (How I code so fast.)

10:01

我的代碼怎麼這麼快。 (How I code so fast.)

2

GREP COMMAND: IN-DEPTH GUIDE [Part 1] (GREP COMMAND : IN-DEPTH GUIDE [ PART 1 ])

13:09

GREP COMMAND: IN-DEPTH GUIDE [Part 1] (GREP COMMAND : IN-DEPTH GUIDE [ PART 1 ])

4

方差分析第二部分：處理交叉組。統計速成班#34 (ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34)

12:42

方差分析第二部分：處理交叉組。統計速成班#34 (ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34)

1

卢旺达如何建立无人机送货服务（How Rwanda Built A Drone Delivery Service）

11:46

卢旺达如何建立无人机送货服务（How Rwanda Built A Drone Delivery Service）

15

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

移動和物聯網設備的AI。TensorFlow Lite (Google I/O'19) (AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19))

32:19

移動和物聯網設備的AI。TensorFlow Lite (Google I/O'19) (AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19))

1

國家地理現場！--文森特-J-穆西：野生動物生活的地方。 (National Geographic Live! - Vincent J. Musi: Where the Wild Things Live)

24:21

國家地理現場！--文森特-J-穆西：野生動物生活的地方。 (National Geographic Live! - Vincent J. Musi: Where the Wild Things Live)

352

利用Keras-Tuner優化神經網絡結構 (Optimizing Neural Network Structures with Keras-Tuner)

28:26

利用Keras-Tuner優化神經網絡結構 (Optimizing Neural Network Structures with Keras-Tuner)

2

現在正在招聘？(電腦公司看什麼) - Computerphile(電腦愛好者) (Now Hiring? (What Computing Companies Look For) - Computerphile)

21:41

現在正在招聘？(電腦公司看什麼) - Computerphile(電腦愛好者) (Now Hiring? (What Computing Companies Look For) - Computerphile)

3

十大最有趣的電影時刻 (Top 10 Funniest Movie Moments)

23:05

十大最有趣的電影時刻 (Top 10 Funniest Movie Moments)

326

第一個小時的Kaggle挑戰 (First hour with a Kaggle Challenge)

50:20

第一個小時的Kaggle挑戰 (First hour with a Kaggle Challenge)

5

DEF CON 22 - Joe FitzPatrick和Miles Crabill - NSA Playset:PCIe (DEF CON 22 - Joe FitzPatrick and Miles Crabill - NSA Playset: PCIe)

44:55

DEF CON 22 - Joe FitzPatrick和Miles Crabill - NSA Playset:PCIe (DEF CON 22 - Joe FitzPatrick and Miles Crabill - NSA Playset: PCIe)

100

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

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

35:33

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

7

2.優化工作的賓利規則 (2. Bentley Rules for Optimizing Work)

80:10

2.優化工作的賓利規則 (2. Bentley Rules for Optimizing Work)

2

SPACE INVADERS FROM SCRATCH (Part 1) - CS50 on Twitch, EP.17 (SPACE INVADERS FROM SCRATCH (PART 1) - CS50 on Twitch, EP. 17)

240:18

SPACE INVADERS FROM SCRATCH (Part 1) - CS50 on Twitch, EP.17 (SPACE INVADERS FROM SCRATCH (PART 1) - CS50 on Twitch, EP. 17)

1

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

38:36

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

154

用React Native構建一個大腦計算機應用（第3部分）--與Jesse一起現場編碼 (Build a Brain Computer App with React Native (Part 3) - Live Coding with Jesse)

91:46

用React Native構建一個大腦計算機應用（第3部分）--與Jesse一起現場編碼 (Build a Brain Computer App with React Native (Part 3) - Live Coding with Jesse)

5

2018年CS50博覽會 (CS50 Fair 2018)

189:11

2018年CS50博覽會 (CS50 Fair 2018)

2

回顧 - QNAP 1600QGD (Review - QNAP 1600QGD)

42:47

回顧 - QNAP 1600QGD (Review - QNAP 1600QGD)

3

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

13:57

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

2

分析模型改進--深度學習在Halite AI大賽中的應用第7頁 (Analyzing model improvements - Deep Learning in Halite AI competition p.7)

16:52

分析模型改進--深度學習在Halite AI大賽中的應用第7頁 (Analyzing model improvements - Deep Learning in Halite AI competition p.7)

3

迪士尼樂園遊樂設施排行榜VS迪士尼樂園遊樂設施! (Top Disney World Rides vs Disneyland Rides!)

14:26

迪士尼樂園遊樂設施排行榜VS迪士尼樂園遊樂設施! (Top Disney World Rides vs Disneyland Rides!)

14

#＃CONAN：方法人完整的採訪 - CONAN在TBS的 (#CONAN: Method Man Full Interview - CONAN on TBS)

13:30

#＃CONAN：方法人完整的採訪 - CONAN在TBS的 (#CONAN: Method Man Full Interview - CONAN on TBS)

7

中文 B1 中級

工作流程。節點 (Workflow: Node)

13:41

工作流程。節點 (Workflow: Node)

4

我如何在Citadel獲得實習機會 (How I Got An Internship At Citadel)

12:06

我如何在Citadel獲得實習機會 (How I Got An Internship At Citadel)

6

從編碼訓練營到谷歌（為軟件工程師）。 (From coding bootcamp to Google (for software engineers))

12:30

從編碼訓練營到谷歌（為軟件工程師）。 (From coding bootcamp to Google (for software engineers))

6

類和對象介紹--第二部分（數據結構和算法#4）。 (Introduction to Classes and Objects - Part 2 (Data Structures & Algorithms #4))

15:04

類和對象介紹--第二部分（數據結構和算法#4）。 (Introduction to Classes and Objects - Part 2 (Data Structures & Algorithms #4))

11

如何破解谷歌編碼面試--一個前谷歌人的指南。 (How to Crack a Google Coding Interview - An Ex-Googler’s Guide)

15:07

如何破解谷歌編碼面試--一個前谷歌人的指南。 (How to Crack a Google Coding Interview - An Ex-Googler’s Guide)

17

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

14:40

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

4

橢圓曲線後門 - Computerphile(電腦愛好者) (Elliptic Curve Back Door - Computerphile)

12:24

橢圓曲線後門 - Computerphile(電腦愛好者) (Elliptic Curve Back Door - Computerphile)

5

我是如何賺到100萬美金的，是什麼感覺？ (How I made $1 million dollars, what it felt like)

11:12

我是如何賺到100萬美金的，是什麼感覺？ (How I made $1 million dollars, what it felt like)

3

1.1:Code!用p5.js進行編程的初學者。 (1.1: Code! Programming for Beginners with p5.js)

13:11

1.1:Code!用p5.js進行編程的初學者。 (1.1: Code! Programming for Beginners with p5.js)

3

真實的事實小貓蛇的崛起 (True Facts: The Rise of the Kitten Snake)

11:29

真實的事實小貓蛇的崛起 (True Facts: The Rise of the Kitten Snake)

18

中文 B2 中高級

五小时法则（The 5 Hour Rule）

13:07

五小时法则（The 5 Hour Rule）

20

英国最大胆的二战突袭（Britain's Most Daring WW2 Raid）

13:04

英国最大胆的二战突袭（Britain's Most Daring WW2 Raid）

12

邪惡神經 BEATS 擊潰尖塔 (Evil Neuro BEATS Slay the Spire)

15:06

邪惡神經 BEATS 擊潰尖塔 (Evil Neuro BEATS Slay the Spire)

5

中文 B1 中級

Fake Voice Text to Speech Deep Learning ft.埃隆-馬斯克、特朗普、奧巴馬和喬-羅根。 (Fake Voice Text to Speech Deep Learning ft. Elon Musk, Trump, Obama, and Joe Rogan)

28:28

Fake Voice Text to Speech Deep Learning ft.埃隆-馬斯克、特朗普、奧巴馬和喬-羅根。 (Fake Voice Text to Speech Deep Learning ft. Elon Musk, Trump, Obama, and Joe Rogan)

7

關閉圖表。將成本數據引入谷歌分析 (Off the Charts: Getting Cost Data into Google Analytics)

26:10

關閉圖表。將成本數據引入谷歌分析 (Off the Charts: Getting Cost Data into Google Analytics)

137

Tensor2Tensor (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Tensor2Tensor (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

39:01

Tensor2Tensor (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Tensor2Tensor (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

5

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

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