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46 results
Learn about gradient descent, stochastic gradient descent, momentum, and adaptive learning rates, along with practical ...
0 views
5 days ago
Learning rate, demystified: see too-small, optimal convergence, and divergence in a tiny Python gradient descent demo.
By optimizing a loss function using gradient descent, XGBoost delivers high accuracy and strong predictive performance.
916 views
3 days ago
It typically uses decision trees as weak learners and improves performance by minimizing a loss function using gradient descent.
23 views
6 days ago
1,045 views
4 days ago
... for Important videos ✓ :- Neural Networks:- https://youtu.be/sE6OaMndGZg Gradient descent :- https://youtu.be/jL2G8DG-qmI ...
38 views
14 hours ago
In this Uplatz Explainer, we explore the evolution and implementation of modern gradient descent optimizers, explaining how ...
6 views
Stop treating Neural Networks like a black box. In this video, we build a fully connected Neural Network completely from scratch ...
54 views
2 days ago
... for Important videos ✓ :- Neural Networks:- https://youtu.be/sE6OaMndGZg Gradient descent :- https://youtu.be/2xdUsy3oq-4 ...
187 views
If you're studying Gradient Descent in 2026, you are already behind. The AI landscape has changed completely. This video is the ...
29 views
... practice Read and write ML code confidently Prepare for advanced topics like Gradient Descent and Multiple Linear Regression ...
17 views
All right so that's stoastic gradient descent with momentum all right okay so uh we have one more thing to get through so uh deep ...
8 views
834 views
... Keeping training stable • KV Cache: Optimizing text generation • Training: Next-token prediction with gradient descent Perfect ...
7 days ago
pytorch ---- #aibook #podcast #booktoread #aibible#machinlearning #booksummary #TheChatGPTMillionaire #iseoai Explore ...
... #DataScientest #GradientDescent #AIForEveryone #BackToBasics #MachineLearning #Upskilling #DataScientestGermany.
378 views
... ensuring you grasp the intuition behind neural networks, gradient descent, and supervised learning. This approach is perfect for ...
41 views
✅ Courses with problems: ► Neural Networks with problems: https://clck.ru/3QMA9q ► Pytorch with problems: https://clck.ru ...
103 views
This is the practical implementation video of my previous lecture on Feature Engineering (Module 2.4). If you haven’t watched ...
571 views
... #PaperReading #Research #MLOps #ModelTraining #Backpropagation #GradientDescent #LossFunction #EvaluationMetrics ...
172 views