๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow DeepNeuralAI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
DeepNeuralAIโs Post
More Relevant Posts
-
Anyone in Tech knows AI is thee subject but what most don't know is how it relates to them or their position or how they can truly implement to get the most out of. What are your thoughts? Share below! Let's connect & would love to hear your thoughts & what you/your team is doing &/or preparing
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
Exploring AI Beyond ChatGPT ๐ AI is rapidly advancing beyond ChatGPT, opening up fascinating new possibilities: 1. Generative Art and Music: AI creates stunning visuals and symphonies. 2. Healthcare: AI revolutionizes diagnostics and personalized treatments. 3. Autonomous Agents: Self-driving cars and smart home systems. 4. Quantum Computing: AI solves complex problems with quantum power. 5. Ethical AI: Focus on transparency and trust in AI decisions. The future of AI is bright, promising innovations that will transform our world! #AI #Innovation #FutureTech
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
Good representation of Generative AI vs Deep Learning vs Neural Network vs Machine Learning vs Artificial Intelligence
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๏ฟฝ๏ฟฝ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
Awesome overview of the #artificialinteligence ecosystem. If youโre a business and our not considering AI, you may be missing out on a range of benefits including; better productivity, increased revenue, improved culture, better systems and more. Reach out if you would like to discuss AI Innovation in your business. #Innovation
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
"What is AI?" you may ask. Artificial intelligence (AI) remains unfamiliar to many, yet it's a transformative technology reshaping every aspect of our lives. AI is a powerful tool enabling us to reimagine how we integrate information, analyze data, and leverage insights to enhance decision-making. In today's rapidly evolving landscape of the fourth industrial revolution, staying informed about AI is crucial. By harnessing AI's capability to analyze vast datasets and uncover hidden patterns, businesses can make informed decisions that drive success. Stay updated and leverage AI's potential for insightful decision-making. #ArtificialIntelligence #AI #DataAnalytics #DecisionMaking #Industry4.0
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
Lead Multi-Modal Logistics Advisor | Performance Management | Active TS-SCI | Foundry Coder| PMP Candidate | USMC and Army Veteran | Rugby Player & Fan (#4/5 - Lock)
My personally established challenge is to incorporate this new technology and solve Predictive Logistics. I will be "Always Faithful" to be an "innovative integrator of emerging technologies." #MarineCorps #Army #WarrantOfficer #PredictiveLogistics #Innovation #EmergingTech #LogisticsProfesional
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
Generative AI technology is transforming how we create and interact with digital content. By using advanced neural networks, these models can produce human-like text, images, music, and more, based on the data they were trained on. Models like OpenAI's GPT-4 can write articles, generate code, and simulate conversations, showcasing a deep understanding of context. Visual models, such as DALL-E, create images from textual descriptions, expanding creative possibilities for artists and designers. Despite its potential, generative AI also raises practical concerns, including misinformation and data privacy. Balancing innovation with responsibility is crucial as we continue to explore this powerful technology. Generative AI represents a new frontier in creativity and problem-solving, with boundless possibilities for the future.
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
Head of Client Development focussing on enhancing client experiences and building long-lasting partnerships
A great overview of all the different areas artificial intelligence (AI) can be applied.
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
-
AI & Blockchain | Budding Entrepreneur | Tech Geek | Designer | Car enthusiast | Space Exploration
The Main Branches of AI: AI MACHINE LEARNING NEURAL NETWORK DEEP LEARNING GEN-AI
๐๐๐ ๐ข๐ฌ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ก๐๐ญ๐๐๐ ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐): Visual Perception: AI that sees and interprets images. Intelligent Robotics: Smart robots that perform tasks. Speech Recognition ๐ฃ๏ธ: Understanding spoken words. Natural Language Processing (NLP) ๐ฌ: Understanding and generating human language. Automated Programming ๐ป: AI that writes code. ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Decision Trees ๐ณ: Decision-making models. Naive Bayes Classification ๐: Simple probabilistic classifiers. K-Nearest Neighbors ๐ซ: Finding similar data points. Principal Component Analysis (PCA) ๐: Reducing data dimensions. Anomaly Detection ๐จ: Identifying unusual patterns. ๐ง ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ: Multilayer Perceptrons ๐: Basic neural networks. Hopfield Networks ๐: Memory storage networks. Modular Neural Networks ๐ธ๏ธ: Multiple specialized networks. Boltzmann Machines ๐งฉ: Networks for learning probabilities. Radial Basis Function Networks ๐ฏ: Networks using radial functions. ๐ค ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ : Convolutional Neural Networks (CNN) ๐ท: Image processing networks. Recurrent Neural Networks (RNN) โพ๏ธ: Sequence prediction networks. Generative Adversarial Networks (GAN) ๐จ: AI generating new data. Autoencoders ๐ ๏ธ: Compressing and reconstructing data. Self-Organizing Maps ๐บ๏ธ: Data visualization networks. โจ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: BERT ๐: Understanding language context. GPT ๐ง : Generating human-like text. One Shot Learning ๐ธ: Learning from few examples. Transfer Learning ๐: Applying knowledge to new tasks. Multimodal AI ๐ผ๏ธ: Combining text, images, and more. ๐ค Follow Generative AI for the Latest Updates on AI ๐ค #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI
-
Student at LJ University
2wVery helpful!