About training machine learning models results of 10,000

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DeepSeek R1 Explained to your grandma08:33

DeepSeek R1 Explained to your grandma

21
A2
AI教父黃仁勳：Nvidia最大貢獻係將CPU、GPU成本降低100萬倍｜人工智能雖不是由第一原理推演答案 但可模擬人類生物學 香港科技大學可建設世界第一間AI醫院｜HKUST｜美股投資｜CC字幕27:19

AI教父黃仁勳：Nvidia最大貢獻係將CPU、GPU成本降低100萬倍｜人工智能雖不是由第一原理推演答案 但可模擬人類生物學 香港科技大學可建設世界第一間AI醫院｜HKUST｜美股投資｜CC字幕

24
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Inside TensorFlow: TF Debugging38:27

Inside TensorFlow: TF Debugging

4
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Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow)12:56

Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow)

4
A2
Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition57:57

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

184
B1
InfiniBand and RoCE: Artificial Intelligence Data Centers | FiberMall09:19

InfiniBand and RoCE: Artificial Intelligence Data Centers | FiberMall

5
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5 14 Latent Factor Models 16 1116:12

5 14 Latent Factor Models 16 11

14
A2
Influenza Vaccines and Data Science in Biology08:43

Influenza Vaccines and Data Science in Biology

4
B2
Google and Amazon are now in the oil business09:02

Google and Amazon are now in the oil business

44
B1
What It'll Take To Upload Our Brains To A Computer06:56

What It'll Take To Upload Our Brains To A Computer

23
B1
Neural Structured Learning - Part 4: Adversarial learning for image classification08:06

Neural Structured Learning - Part 4: Adversarial learning for image classification

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Testing object detection models in GTA - Charles 2.0 part. 313:45

Testing object detection models in GTA - Charles 2.0 part. 3

6
A2
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)42:35

Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)

2
B1
Big Tech in panic mode... Did DeepSeek R1 just pop the AI bubble?03:37

Big Tech in panic mode... Did DeepSeek R1 just pop the AI bubble?

32
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Natural Language Processing and Chat Bots PART A07:47

Natural Language Processing and Chat Bots PART A

83
B1
Dealing with Dynamic Data - Computerphile17:25

Dealing with Dynamic Data - Computerphile

2
B1
Intel AI Academy | AI News | Intel Software01:54

Intel AI Academy | AI News | Intel Software

169
A2
Hands-On Practice on LinkedIn Learning with GitHub Codespaces01:46

Hands-On Practice on LinkedIn Learning with GitHub Codespaces

2
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Data Analysis 8: Classifying Data - Computerphile15:49

Data Analysis 8: Classifying Data - Computerphile

11
A2
Working with TensorFlow Datasets (TensorFlow Meets)08:11

Working with TensorFlow Datasets (TensorFlow Meets)

1
A2
ML & AI sandbox demos at Google I/O 201902:44

ML & AI sandbox demos at Google I/O 2019

6
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Data - Deep Learning and Neural Networks with Python and Pytorch p.228:17

Data - Deep Learning and Neural Networks with Python and Pytorch p.2

5
A2
How machine learning is being used to help save the world’s bees01:27

How machine learning is being used to help save the world’s bees

113
B1
ml5.js: Save Neural Network Training Data12:46

ml5.js: Save Neural Network Training Data

1
A2
Organoid Intelligence | Dr. Thomas Hartung | XPANSE 202410:29

Organoid Intelligence | Dr. Thomas Hartung | XPANSE 2024

8
B1
Let's make an AI that destroys video games: Crash Course AI #1313:26

Let's make an AI that destroys video games: Crash Course AI #13

8
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Lecture 8 | Deep Learning Software78:07

Lecture 8 | Deep Learning Software

68
B1
How Close Are We to Controlling Machines With Our Minds?09:07

How Close Are We to Controlling Machines With Our Minds?

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Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)12:48

Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)

4
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How TensorFlow keeps improving (TensorFlow Meets)06:39

How TensorFlow keeps improving (TensorFlow Meets)

2
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How to Transition into Data Science: from Computer Science to Data Science09:20

How to Transition into Data Science: from Computer Science to Data Science

5
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Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 201805:15

Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018

5
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AI for Good Panel - Autonomous World - SXSW 2017 - #IntelAI - #theCUBE46:35

AI for Good Panel - Autonomous World - SXSW 2017 - #IntelAI - #theCUBE

194
B1
Is College Still Worth It? Palantir Thinks Maybe Not | Vantage with Palki Sharma | N18G04:43

Is College Still Worth It? Palantir Thinks Maybe Not | Vantage with Palki Sharma | N18G

2
B1
「アルゴリズム」って何？ハーバードの教授が教える最先端を目指すための基礎と道のり | 5 Levels | WIRED Japan25:47

「アルゴリズム」って何？ハーバードの教授が教える最先端を目指すための基礎と道のり | 5 Levels | WIRED Japan

B1
TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20)10:25

TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20)

4
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Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)12:44

Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)

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BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7138:46

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

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Debunking 10 Common Misconceptions about AI09:46

Debunking 10 Common Misconceptions about AI

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B1
Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português)07:27

Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português)

4
B2
What's the Difference: AI and AGI?04:38

What's the Difference: AI and AGI?

1445
B1
Build an image classifier (ML Zero to Hero, part 4)05:27

Build an image classifier (ML Zero to Hero, part 4)

1
B1
Incremental Models (Faisal El Shami)11:05

Incremental Models (Faisal El Shami)

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B1
Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.539:36

Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.5

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iPhone 15 event in 17 minutes17:26

iPhone 15 event in 17 minutes

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B1
Machine Learning over Coffee with Josh Gordon - Coffee with a Googler06:37

Machine Learning over Coffee with Josh Gordon - Coffee with a Googler

322
B1