Difference between revisions of "General Regression Neural Network (GRNN)"
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| − | + | {{#seo: | |
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| + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| − | * [[AI Solver]] | + | <!-- Google tag (gtag.js) --> |
| − | * [[...predict values]] | + | <script async src="https://www.googletagmanager.com/gtag/js?id=G-4GCWLBVJ7T"></script> |
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| + | [https://www.youtube.com/results?search_query=General+Regression+Neural+Network+GRNN YouTube search...] | ||
| + | [https://www.google.com/search?q=General+Regression+GRNN+machine+learning+ML+artificial+intelligence ...Google search] | ||
| + | |||
| + | * [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]] | ||
| + | ** [[...predict values]] | ||
| + | * [[Regression]] Analysis | ||
| + | * [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]] | ||
| + | * [https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/neural-network-regression Neural Network Regression | Microsoft] | ||
| + | * [https://www.quora.com/When-should-we-use-logistic-regression-and-Neural-Network When should we use logistic regression and Neural Network? | Sebastian Raschka] | ||
| + | * [https://en.wikipedia.org/wiki/General_regression_neural_network General regression neural network | Wikipedia] | ||
The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function | The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function | ||
| − | + | https://www.researchgate.net/profile/Payam_Hanafizadeh/publication/277307360/figure/fig1/AS:294315550101505@1447181703557/Generalized-regression-neural-network-GRNN.png | |
<youtube>rgQxVdOr9b8</youtube> | <youtube>rgQxVdOr9b8</youtube> | ||
Latest revision as of 21:51, 5 March 2024
YouTube search... ...Google search
- AI Solver ... Algorithms ... Administration ... Model Search ... Discriminative vs. Generative ... Train, Validate, and Test
- Regression Analysis
- Math for Intelligence ... Finding Paul Revere ... Social Network Analysis (SNA) ... Dot Product ... Kernel Trick
- Neural Network Regression | Microsoft
- When should we use logistic regression and Neural Network? | Sebastian Raschka
- General regression neural network | Wikipedia
The simplest neural network performs least squares regression - single-layer neural network, with a single node that uses a linear activation function
