In deep learning, inference time is the amount of time it takes for a machine learning model to process new data and make a prediction.
Deep learning models are trained using large datasets. Once the model is trained, it can be used to make predictions on new data very quickly.
In fact, most deep learning models can process new data in just a few milliseconds. This makes them well suited for use in real-time applications such as text recognition, speech recognition, and facial recognition.
In deep learning, inference time is the amount of time it takes for a machine learning model to process new data and make a prediction.
Deep learning models are trained using large datasets. Once the model is trained, it can be used to make predictions on new data very quickly.
In fact, most deep learning models can process new data in just a few milliseconds. This makes them well suited for use in real-time applications such as text recognition, speech recognition, and facial recognition.