torch for optimization
Torch is not just for deep learning. Its L-BFGS optimizer, complete with Strong-Wolfe line search, is a powerful tool in unconstrained as well as constrained optimization.
Torch is not just for deep learning. Its L-BFGS optimizer, complete with Strong-Wolfe line search, is a powerful tool in unconstrained as well as constrained optimization.
In this episode of Open Source Directions, we were joined by Thomas Wiecki once again who talked about the work being done with PyMC. PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.
This article discusses GPT-2 and BERT models, as well using knowledge distillation to create highly accurate models with fewer parameters than their teachers
Table of Contents What Is Keras Core? Configuring Your Development Environment Let’s Talk about Keras! Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup…
The post What Is Keras Core? appeared first on PyImageSearch.
What is Attention, and why is it used in state-of-the-art models? This article discusses the types of Attention and walks you through their implementations.
Data science is an ever-evolving field that relies heavily on data tools and libraries to process, analyze, and visualize massive datasets. As the demand for data-driven insights continues to grow, data scientists need powerful tools and libraries that can handle complex computations efficiently. In this article, we will explore the top 50 data tools and libraries for data science, based on information from various sources such as Analytics Insight, Simplilearn, and DataCamp.