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Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression
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July 29, 2023
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Recurrent Neural Networks, Explained and Visualized from the Ground Up Complex Flavors of Recurrent Networks Neural Machine Translation Text-Output Recurrent Models Bidirectionality Autoregressive Generation 2016 Google Translate
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June 24, 2023
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Top 10 Machine Learning Algorithms Every Programmer Should Know #1. Linear Regression: The Oldie but Goodie #2. Logistic Regression: It’s Not All About Numbers #3. Decision Trees: Make Decisions Like a Machine #4. Naive Bayes: A Sincere Approach to Classifying #5. K-Nearest Neighbors (K-NN): Birds of the Same Feather #6. Support Vector Machines (SVM): Playing the Field #7. K-Means Clustering: Finding Your Tribe #8. Random Forest: More Trees, Please! #9. Neural Networks: Mimicking the Human Brain #10. Gradient Boosting & AdaBoost: Boosting Your Method to Success Wrapping Up Our Wild Ride Through the World of Machine Learning Level Up Coding
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June 6, 2023
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Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 05
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June 5, 2023
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Decoding the Enigma: Neural Networks and Their Intricate Connections to the Human Brain The Neural Network and Biological Intuition Should It Work Even when We Don’t Fully Understand Brain Neurons? The Link between Artificial Neural Networks and Real Brain Networks: What Is Happening Contained in the Hidden Layer? The Enigma behind hidden layers Neural Network Hacks That Proceed to Perplex Conclusion
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May 26, 2023
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Unraveling the Design Pattern of Physics-Informed Neural Networks: Series 01 1. Paper at a look: 2. Design pattern 3 Potential Future Improvements 4 Takeaways Reference
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May 18, 2023
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Unraveling the Design Pattern of Physics-Informed Neural Networks: Series 01
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May 15, 2023
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Artificial Intelligence
Intro to Graph Neural Networks with cuGraph-PyG
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May 13, 2023
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From Basic Gates to Deep Neural Networks: The Definitive Perceptron Tutorial Table of Contents 1. Introduction 2. The Mathematics Behind the Perceptron Model 3. The Perceptron Model as a Binary Classifier 4. Logic Gates and the Perceptron Model 5. Perceptrons for Multiplication and Transistor-like Functionality 6. Comparing the Perceptron Model to Logistic Regression 7. Creative and Unique Applications of the Perceptron Model 8. The Evolution of the Perceptron Model and Legacy in Deep Learning 9. Conclusion References Contact
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May 1, 2023
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Artificial Intelligence
Drones navigate unseen environments with liquid neural networks
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April 19, 2023
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