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17 results
Learning rate, demystified: see too-small, optimal convergence, and divergence in a tiny Python gradient descent demo.
0 views
5 days ago
If we stack thousands of layers of neurons without activation functions, what do we get? We get a single linear regression model.
1,109 views
7 days ago
... for Important videos ✓ :- Neural Networks:- https://youtu.be/sE6OaMndGZg Gradient descent :- https://youtu.be/jL2G8DG-qmI ...
36 views
9 hours ago
Learn about gradient descent, stochastic gradient descent, momentum, and adaptive learning rates, along with practical ...
If you're studying Gradient Descent in 2026, you are already behind. The AI landscape has changed completely. This video is the ...
28 views
In this Uplatz Explainer, we explore the evolution and implementation of modern gradient descent optimizers, explaining how ...
5 views
3 days ago
... practice Read and write ML code confidently Prepare for advanced topics like Gradient Descent and Multiple Linear Regression ...
17 views
6 days ago
... Sigmoid activation functions Mean Squared Error (MSE) loss function Backpropagation and Gradient Descent Training a neural ...
11 views
... Learning & gradient descent with real world problems. More about Sydney: https://bit.ly/4aqm1mG Computerphile is supported ...
25,490 views
... you master Linear Regression, learning Gradient Descent, Polynomial Regression, and Regularization becomes much easier.
16 views
This is the practical implementation video of my previous lecture on Feature Engineering (Module 2.4). If you haven’t watched ...
568 views
4 days ago
... #PaperReading #Research #MLOps #ModelTraining #Backpropagation #GradientDescent #LossFunction #EvaluationMetrics ...
172 views
इस वीडियो में हम Machine Learning के सबसे important topic – Linear Regression को theory + practical ...
161 views
... Algebra) نامپای (NumPy) متپلاتلیب (Matplotlib) سپس به سراغ مفاهیم کلیدی مانند: ⚙️ تنزل گرادیان (Gradient Descent) ...
2 days ago
Gradient Descent and Weight Updates It is important to distinguish backpropagation from gradient descent.