A New Optimization Technique for Deep Neural Networks
-
Updated
Jan 13, 2022 - Python
A New Optimization Technique for Deep Neural Networks
Instantly improve your training performance of TensorFlow models with just 2 lines of code!
Scripts and models to optimize musculotendon parameters in musculoskeletal models.
Actively solving LeetCode problems to enhance algorithmic skills and DSA knowledge. Consistently improving problem-solving abilities and preparing for competitive programming and technical interviews.
CEopt is a Matlab routine for non-convex optimization using the Cross-Entropy method and augmented Lagrangian formulation.
Maximize the flow of data through a network with this efficient Maximum Flow Algorithm implemented in Kotlin. Use it to optimize data transmission and improve network performance.
Diese Desktop-Software simuliert einen elektrischen Wechselrichterantrieb und nutzt eine Mehrzieloptimierungstechnik (This desktop software simulates electrical inverter drive and utilizes multi-objective optimization technique)
Some Lab experiments of calculus and optimization techniques using Matlab
Add a description, image, and links to the optimization-technique topic page so that developers can more easily learn about it.
To associate your repository with the optimization-technique topic, visit your repo's landing page and select "manage topics."