1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples. The time spent in data pre ...

it demands enormous datasets and extensive computational resources, making it both costly and time-consuming, and deep learning models can be difficult to interpret if not properly managed. TABLE ...

Currently, many researchers and companies try to overcome the limits of deep learning by training neural networks on more data, hoping that larger datasets will cover a wider distribution and ...