Reshaping the Dataset For Neural Networks

The shape of input data is expected by neural networks, which is specified by the network's architecture. To match this expected shape, the input data must be reshaped. This is required because the network makes assumptions about the data it will receive as input, which are built into the network's architecture. If the input data does not conform to the expected shape, the network will be unable to process it properly and may produce incorrect results. The input data is reshaped so that it can be formatted in a way that the network can understand and use for training.