Does the pack neighbors API in Neural Structured Learning of TensorFlow produce an augmented training dataset based on natural graph data?
Saturday, 13 April 2024 by ankarb
The pack neighbors API in Neural Structured Learning (NSL) of TensorFlow indeed plays a important role in generating an augmented training dataset based on natural graph data. NSL is a machine learning framework that integrates graph-structured data into the training process, enhancing the model's performance by leveraging both feature data and graph data. By utilizing
Why is it important to balance the training dataset in deep learning?
Sunday, 13 August 2023 by EITCA Academy
Balancing the training dataset is of utmost importance in deep learning for several reasons. It ensures that the model is trained on a representative and diverse set of examples, which leads to better generalization and improved performance on unseen data. In this field, the quality and quantity of training data play a important role in
- Published in Artificial Intelligence, EITC/AI/DLPTFK Deep Learning with Python, TensorFlow and Keras, Data, Loading in your own data, Examination review
Tagged under: Artificial Intelligence, Bias, Data Balancing, Deep Learning, Generalization, Training Dataset