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  2. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch 2.0 was released on 15 March ... Networks are built by inheriting from the torch.nn module and defining the sequence of operations in the forward() function.

  3. Automatic differentiation - Wikipedia

    en.wikipedia.org/wiki/Automatic_differentiation

    Reverse accumulation is more efficient than forward accumulation for functions f : R n → R m with n ≫ m as only m sweeps are necessary, compared to n sweeps for forward accumulation. Backpropagation of errors in multilayer perceptrons, a technique used in machine learning, is a special case of reverse accumulation. [2]

  4. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    Loss functions are implemented as sub-classes of Criterion, which has a similar interface to Module. It also has forward() and backward() methods for computing the loss and backpropagating gradients, respectively. Criteria are helpful to train neural network on classical tasks.

  5. Differentiable programming - Wikipedia

    en.wikipedia.org/wiki/Differentiable_programming

    A proof of concept compiler toolchain called Myia uses a subset of Python as a front end and supports higher-order functions, recursion, and higher-order derivatives. [8] [9] [10] Operator overloading, dynamic graph based approaches such as PyTorch, NumPy's autograd package as well as Pyaudi. Their dynamic and interactive nature lets most ...

  6. Physics-informed neural networks - Wikipedia

    en.wikipedia.org/wiki/Physics-informed_neural...

    Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).

  7. Level Up Your Life: 22 Online Courses Worth Gifting To ... - AOL

    www.aol.com/treat-brain-22-online-courses...

    The PyTorch library used in implementing the projects is a popular one too and the instructors do an excellent job in breaking down the code projects into the right modules. The bonus lectures on ...

  8. Softmax function - Wikipedia

    en.wikipedia.org/wiki/Softmax_function

    The softmax function, also known as softargmax [1]: 184 or normalized exponential function, [2]: 198 converts a vector of K real numbers into a probability distribution of K possible outcomes. It is a generalization of the logistic function to multiple dimensions, and is used in multinomial logistic regression .

  9. Dying To Be Free - The Huffington Post

    projects.huffingtonpost.com/dying-to-be-free...

    The last image we have of Patrick Cagey is of his first moments as a free man. He has just walked out of a 30-day drug treatment center in Georgetown, Kentucky, dressed in gym clothes and carrying a Nike duffel bag.