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3Blue1Brown
Fractals are typically not self-similar
What exactly are fractals? A common misconception is that they are shapes which look exactly like themselves when you zoom in. In fact, the definition has something to do with the idea of "fractal dimension".
3Blue1Brown
Fractals are typically not self-similar
What exactly are fractals? A common misconception is that they are shapes which look exactly like themselves when you zoom in. In fact, the definition has something to do with the idea of "fractal dimension".
Curated Video
Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial...
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial...
Schooling Online
Physics Kinematics: Motion in a Straight Line - Graphical Vector Resolution
The roof collapses around Vector Man! How will he escape the ruins of Lexi Luthor’s hideout? This lesson will explain the steps needed to graphically resolve a 2D vector into two perpendicular components. Definitions included: vector...
APMonitor
Python OpenCV Introduction
Computer vision is automation of tasks that mimic human response to visual information. Computers gain high-level understanding and take actions from digital images or videos.
Packages for image manipulation and computer...
Packages for image manipulation and computer...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures
This video explains the support vector machine called SVM and its introduction.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Packt
Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
Khan Academy
Khan Academy: More Determinant Depth: Determinant as Scaling Factor
Video demonstrating that the area of a parallelogram that is the image of a rectangle under a transformation is equivalent to the absolute value of the determinant of the matrix whose column vectors generate the parallelogram.