Machine Learning FOR BEGINNERS – Perceptron with Code Example
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Frank
- June 29, 2021
- activation function
- AI
- ai for beginners
- AI tutorial
- artificial intelligence
- artificial intelligence for beginners
- artificial intelligence tutorial
- basic neural network
- basic perceptron
- bias
- input
- Machine Learning
- machine learning for beginners
- ML
- Neural Network
- neuron
- output
- Perceptron
- perceptron example
- Python
- python ai
- python machine learning
- python perceptron
- python step function
- simple ai
- simple machine learning
- step function
- threshold
- weighted sum
Python Simplified talks about the perceptron and code it together in Python.
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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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Neuromorphic Computing
Computerphile presents Memristors, Artificial Synapses & Neomorphic Computing. Dr Phil Moriarty on the limitations of the Von Neumann architecture and what could be next. Related Links: Phil’s blog post: https://muircheartblog.wpcomstaging.com/2020/09/10/i-remember-now Von Neumann Architecture: https://www.youtube.com/watch?v=Ml3-kVYLNr8
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This equation will change how you see the world
Veritasium fascinates with this exploration of a mathematical formula that keeps cropping up all over the place.
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