The core section of DL is implemented through a relatively simple example
- BP neural network (BP)
- One-dimensional convolutional neural network (1DCNN)
- A minimum unit script file that includes dataset creation, model construction, configuration parameters, training functions, evaluation functions, save functions, gradient accumulation, reloading parameter weights, continue training with checkpoints and progress bar based on tqdm.