encoders

the audio encoder converted the speech into a numerical representation.

we use video encoders to compress large video files for streaming.

the neural network employs encoders and decoders for sequence-to-sequence tasks.

the image encoder extracted features from the input image.

the data encoder transformed the raw data into a usable format.

the hardware encoders efficiently compressed the video stream.

the language encoders learned to represent words and sentences.

the system utilizes multiple encoders for different data types.

the loss function penalizes errors in the encoder's output.

the encoder’s architecture is crucial for model performance.

we are evaluating different encoders for optimal performance.