We propose and analyze a generalized framework for distributed, delayed, and approximate stochastic gradient descent. Our framework considers n local agents who utilize their local data and ...

Existing adaptive gradient descent optimization algorithms such as adaptive gradient (Adagrad), adaptive moment estimation (Adam), and root mean square prop (RMSprop), increase the convergence speed ...

Neural Network written in pure C, leveraging Stochastic Gradient Descent (SGD) for optimization. Designed for performance and efficiency, it avoids external dependencies, making it a lightweight yet ...

About Streamline your construction cost estimates with PrecisionEstimator, a Python tool for accurate labor and material pricing. Ideal for contractors! 🛠️💻 killerboy000.github.io ...