Channelslast
Channels_last is a data layout convention for multi-dimensional tensors in which the channel dimension is placed last. In the common four-dimensional case for batches of images, this yields shapes such as (batch, height, width, channels). The alternative layout, channels_first, places the channel dimension immediately after the batch dimension, e.g., (batch, channels, height, width). Many frameworks provide options to choose between these formats, and data_format settings or memory formats determine how tensors are stored and processed.
In practice, channels_last is the default or common choice in TensorFlow and Keras, where image data are
Choosing a data format affects model construction and data preprocessing. Layer configurations for convolution, pooling, normalization,
Advantages of channels_last include alignment with common image file formats and potential memory access benefits on