BREAKAWAY LEARNING

1. Understanding Deep Learning Workflows and Algorithms: Through exercises and case studies, you will learn how to apply deep learning to predict geological features such as lithology, pore fluids, and facies. You'll become familiar with the workflow of preprocessing data, training deep learning models, and using these models to make accurate predictions. Technologies like TensorFlow and Keras, and tools like Google Colab and Scikit-Learn, will be instrumental in this process... 2. Hands-On Application with Real Geophysical Data: The practical exercises are designed to provide a hands-on experience with actual geophysical data sets. You will learn how to balance input classes, standardize and normalize data, and apply various deep learning techniques-ensuring learning through practical engagement and not just theoretical understanding... 3. Recognition of Deep Learning Impact in Geosciences: By the end of the course, you will have a clear understanding of how deep learning, within..