How Deep Neural Networks Work
This is part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193
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The AI Hardware Problem
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Frank
- February 16, 2021
- AI
- ai asics
- ai chips
- AI on GPU
- analog ai
- analog neural networks
- ann
- artificial intelligence
- artificial intelligence chips
- artificial neural networks
- Convolutional Neural Networks
- google TPU
- GPU
- GPU AI
- GPU neural networks
- Machine Learning
- machine vision
- magnetic ram
- magneto resistive memory
- MRAM
- MRRAM
- Neural Networks
- neuron
- PCM
- phase change memory
- tensor
- tensor flow
- tensor processing unit
- weights
The abundance of automation and tooling made it relatively manageable to scale designs in complexity and performance as demand grew. However, the power being consumed by AI and machine learning applications cannot feasibly grow as is on existing processing architectures. Where do we go from here? New Mind explores.
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Visualizing Deep Learning
-
Frank
- September 2, 2020
- 3b1b
- A Visual Introduction
- Alfredo canziani
- animation
- ann
- artificial intelligence
- artificial neural network
- Calculus
- CNN
- Deep Learning
- derivative
- dl
- Machine Learning
- manim
- Math
- Neural Network
- Neural Networks
- neural networks visualized
- nn
- NYU
- structure
- structure of neural networks
- The Neural Network
- v cubing x
- vcubing x
- vcubingx
- Visualization
- visualizing deep learning
- visualizing neural networks
- vivek verma
- Yann LeCun
vcubingx provides a visual introduction to the structure of an artificial neural network. The Neural Network, A Visual Introduction | Visualizing Deep Learning, Chapter 1 0:00 Intro 1:55 One input Perceptron 3:30 Two input Perceptron 4:40 Three input Perceptron 5:17 Activation Functions 6:58 Neural Network 9:45 Visualizing 2-2-2 Network 10:59 Visualizing 2-3-2 Network 12:33 Classification […]
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