By Dr Mabrouka Abuhmida Deep learning models have several hyperparameters that can be adjusted to optimize their performance. These...

By Dr Mabrouka Abuhmida In machine learning, a filter is a small matrix of weights used to transform the input data by applying a dot...

By Dr Mabrouka Abuhmida MLOps, or DevOps for machine learning, is a set of practices and tools that help organizations develop, deploy,...

By Dr Mabrouka Abuhmida AutoML (Automated Machine Learning) refers to the process of automating the entire machine learning process,...

By Dr Mabrouka Abuhmida It is possible to use chatbots based on language models such as ChatGPT in virtual reality (VR) chat...

By Dr Mabrouka Abuhmida In the context of machine learning (ML) pipelines, data contracts refer to the agreements or rules that define...

By Dr Mabrouka Abuhmida A CT (Computed Tomography) scan is a medical imaging procedure that uses x-rays and computer processing to create...

By Dr Mabrouka Abuhmida Reshaping images is important for deep learning models because the input data for these models needs to be in a...

By Dr Mabrouka Abuhmida Batch learning and online learning are two different approaches to machine learning, which refer to teaching a...

By Dr Mabrouka Abuhmida This manual provides examples of deep learning and machine learning concepts with accompanying datasets. It is a...

By Dr Mabrouka Abuhmida Open Neural Network Exchange (ONNX ) is a standard format for representing deep learning models. It was developed...

By Dr Mabrouka Abuhmida IImage annotation refers to labelling or tagging images with relevant information. This can include labeling...

By Dr Mabrouka Abuhmida Amazon Web Services (AWS) and Microsoft Azure are two of the most popular cloud computing platforms. Both offer a...

By Dr Mabrouka Abuhmida Garbage in, garbage out (GIGO) is a term used to describe the concept that if incorrect or flawed data is input...