Why is shuffling the data important when working with the MNIST dataset in deep learning?
Sunday, 13 August 2023
by EITCA Academy
Shuffling the data is an essential step when working with the MNIST dataset in deep learning. The MNIST dataset is a widely used benchmark dataset in the field of computer vision and machine learning. It consists of a large collection of handwritten digit images, with corresponding labels indicating the digit represented in each image. The
- Published in Artificial Intelligence, EITC/AI/DLPP Deep Learning with Python and PyTorch, Data, Datasets, Examination review
Tagged under:
Artificial Intelligence, Deep Learning, Generalization, MNIST Dataset, Overfitting, Shuffling Data
What is the purpose of using the MNIST dataset in deep learning with TensorFlow?
Tuesday, 08 August 2023
by EITCA Academy
The MNIST dataset is widely used in the field of deep learning with TensorFlow due to its significant contributions and didactic value. MNIST, which stands for Modified National Institute of Standards and Technology, is a collection of handwritten digits that serves as a benchmark for evaluating and comparing the performance of various machine learning algorithms,