Batch normalization (BN) enhances the training of deep ReLU neural network with a composition of mean centering (centralization) and variance scaling (unitization). Despite the success of BN, there ...

A new on-board turbo-fan engine modeling method based on a batch normalize (BN) mini-batch gradient descent (MGD) deep neural network (NN) is proposed. This new method adopts BN algorithm, which ...

Everything in AI is a hack that worked: ReLU, dropout, batch normalization, skip connections. Even the loss functions which seem logical are used not because they are logical to use, but because ...

Soe Vinorm is an effective and extensible toolkit for Vietnamese text normalization, designed for use in Text-to-Speech (TTS) and NLP pipelines. It detects and expands non-standard words (NSWs) such ...

data load tool (dlt) — the open-source Python library for data loading Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop, or a GPT-4 assisted development playground ...