Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent studies suggest ...

Pad batch inputs Starting batch audio generation... channel_score have nan or inf..... NaN count: 152696 Inf count: 1 ../aten/src/ATen/native/cuda/TensorCompare.cu ...

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during ...

Despite decades of research proving their value at work, emotions remain one of the most undervalued—and misunderstood—resources available to leaders. Too many leaders still believe that emotions ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Whether you’re watching a feature film or a television show, you’ve probably noticed big fluctuations in volume levels, especially when a commercial break pops up and nearly shatters your eardrums.

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

Loudness normalization is now available for the Galaxy S24 series in the recent One UI 7 beta. The feature prevents sound from suddenly becoming too loud or too quiet while playing media. It was ...