Backpropagation calculus | Deep Learning Chapter 4
10:18
YouTube3Blue1Brown
Backpropagation calculus | Deep Learning Chapter 4
Help fund future projects: https://www.patreon.com/3blue1brown An equally valuable form of support is to share the videos. Special thanks to these supporters: http://3b1b.co/nn3-thanks Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks This one is a bit more symbol-heavy ...
視聴回数: 348.1万 回2017年11月3日
Backpropagation Tutorial
AI | Business | Technology on Instagram: "Geoffrey Hinton — often called the Godfather of AI — received the 2024 Nobel Prize for pioneering neural networks and backpropagation, the foundations of modern deep learning. But his acceptance speech was far from celebratory. Hinton warned that AI is already fueling online echo chambers, enabling mass surveillance, and driving large-scale phishing attacks. He cautioned that far greater risks are emerging: AI-generated viruses, autonomous weapons, and d
AI | Business | Technology on Instagram: "Geoffrey Hinton — often called the Godfather of AI — received the 2024 Nobel Prize for pioneering neural networks and backpropagation, the foundations of modern deep learning. But his acceptance speech was far from celebratory. Hinton warned that AI is already fueling online echo chambers, enabling mass surveillance, and driving large-scale phishing attacks. He cautioned that far greater risks are emerging: AI-generated viruses, autonomous weapons, and d
Instagramtheplaceforai
視聴回数: 2707 回3 日前
Artificial Intelligence | AI on Instagram: "The chain rule is a basic idea from calculus that helps us understand how changes in one variable affect another through a chain of functions. In simple terms, if one thing affects a second thing, and that second thing affects a third, we can multiply the rates of change (derivatives) to find the overall effect. This is especially useful in artificial neural networks (ANNs), where each layer transforms its input and passes it to the next. During traini
1:00
Artificial Intelligence | AI on Instagram: "The chain rule is a basic idea from calculus that helps us understand how changes in one variable affect another through a chain of functions. In simple terms, if one thing affects a second thing, and that second thing affects a third, we can multiply the rates of change (derivatives) to find the overall effect. This is especially useful in artificial neural networks (ANNs), where each layer transforms its input and passes it to the next. During traini
Instagraminfusewithai
視聴回数: 2105 回1 日前
How Do Neural Networks Perform Pattern Recognition? - AI and Machine Learning Explained
3:04
How Do Neural Networks Perform Pattern Recognition? - AI and Machine Learning Explained
YouTubeAI and Machine Learning
1 日前
人気の動画
Backpropagation, intuitively | Deep Learning Chapter 3
12:47
Backpropagation, intuitively | Deep Learning Chapter 3
YouTube3Blue1Brown
視聴回数: 555.7万 回2017年11月3日
Neural Networks Pt. 2: Backpropagation Main Ideas
17:34
Neural Networks Pt. 2: Backpropagation Main Ideas
YouTubeStatQuest with Josh Starmer
視聴回数: 70.1万 回2020年10月19日
Backpropagation in Neural Networks | Back Propagation Algorithm with Examples | Simplilearn
6:48
Backpropagation in Neural Networks | Back Propagation Algorithm with Examples | Simplilearn
YouTubeSimplilearn
視聴回数: 21.1万 回2022年11月7日
Backpropagation Algorithm Explained
Motivational quotes on Instagram: "Geoffrey Hinton, one of the pioneers of modern AI, was awarded the Nobel Prize in 2024 for his work on neural networks. He’s often called the Godfather of AI for co-developing the backpropagation algorithm in the 1980s, which laid the foundation for today’s deep learning systems. Until 2023, he worked at Google, where he helped lead AI research. He left the company so he could speak freely about the risks he believes AI now poses. In his Nobel Prize speech, Hin
2:14
Motivational quotes on Instagram: "Geoffrey Hinton, one of the pioneers of modern AI, was awarded the Nobel Prize in 2024 for his work on neural networks. He’s often called the Godfather of AI for co-developing the backpropagation algorithm in the 1980s, which laid the foundation for today’s deep learning systems. Until 2023, he worked at Google, where he helped lead AI research. He left the company so he could speak freely about the risks he believes AI now poses. In his Nobel Prize speech, Hin
Instagramrisernote
視聴回数: 8190 回4 日前
【生成式人工智慧與機器學習導論2025】第 5 講：一堂課搞懂機器學習與深度學習的基本原理 (案例：老師什麼時候要下課)
2:24:08
【生成式人工智慧與機器學習導論2025】第 5 講：一堂課搞懂機器學習與深度學習的基本原理 (案例：老師什麼時候要下課)
YouTubeHung-yi Lee
視聴回数: 3984 回1 週間前
Gradient descent | Backpropagation | Loss Functions
4:07
Gradient descent | Backpropagation | Loss Functions
YouTubeMixoMind Knowledge
視聴回数: 76 回2 週間前