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In current years, the improvement of deep learning has brought about tremendous changes: As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) have been widely employed in various fields including transportation. This paper reviews the development of GANs and their ...
A stationary point of a curve is the point at which the gradient of the curve equals zero. Stationary points are important in physics and mathematics, notably in calculus. The stationary point of a function under consideration is the point where the derivative of the function is zero. If you...
Of course, the journey to become a skilled deep learning engineer in Python takes much more time and effort than that. Much of your time should be spent writing PyTorch code and solving problems. Just like learning to ride a bike is much more effective when you actually get on one ...
A smooth inclined plane has a gradient of 1 in 5. A body having a mass of 60 kg rests on the plane. Draw the force diagram to a scale and, from the diagram, determine the effort required to pull the body at a uniform speed up the plane if the effort makes ...
Neural style transfer has been a killer app for deep learning, drawing attention from and advertising the effectiveness to both the academic and the general public. However, we have found by ablative experiments that optimizing an image in the way neural style transfer does, while the objective ...
The problem of how to control complex systems has its roots in dynamical systems and optimization theory1,2,3,4. Mathematically, a dynamical system is said to be “controllable” if it can be steered from any initial stateto any target statein finite time. Controlling complex dynamical systems...
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The gradient of a field, however, is in general not continuous between elements. Inside an element, it is determined by the spatial derivatives of the shape functions and the nodal values at the nodes of the individual element. Thus, the gradients are also uniquely defined within each element...