Deep Learning with Yacine on MSN
Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial
Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN
AdamW optimizer from scratch in Python – step-by-step tutorial
Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...
The purpose of this project is to provide a simple and reliable ffmpeg wrapper for working with video files. It implements two simple generator functions for reading and writing data from/to ffmpeg, ...
A commandline python application for monitoring the progress of video encoding with FFmpeg. FBED makes use of ffmpeg-python and urwid. fbed.py takes the number of parallel ffmpeg tasks to run followed ...
Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results