Does the Keras library allow the application of the learning process while working on the model for continuous optimization of its performance?
Wednesday, 10 September 2025 by Michał Otoka
The Keras library, which serves as a high-level neural networks API, is widely utilized in the field of machine learning for its user-friendly interface and powerful features. It is fully compatible with backends such as TensorFlow, Theano, and Microsoft Cognitive Toolkit (CNTK). One of the fundamental aspects of machine learning is the iterative process of
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, Introduction to Keras
Tagged under: Artificial Intelligence, Deep Learning, Incremental Learning, Keras, Model Optimization, Neural Networks
How does an already trained machine learning model take a new scope of data into account?
Tuesday, 06 May 2025 by fabien lambergeon
When a machine learning model is already trained and encounters new data, the process of integrating this new scope of data can take several forms, depending on the specific requirements and context of the application. The primary methods to incorporate new data into a pre-trained model include retraining, fine-tuning, and incremental learning. Each of these