Deep Learning Cross Validation for TensorFlow and Keras

This course on deep learning using cross-validation for TensorFlow and Keras aims to teach learners the following: - Understanding and implementing cross-validation techniques with Keras and scikit-learn - Applying cross-validation for regression and classification tasks - Utilizing cross-validation for Kaggle competitions The course focuses on teaching practical skills such as implementing cross-validation, regression, and classification techniques using specific tools like TensorFlow and Keras. The teaching method involves a hybrid format with online resources, making it accessible for self-paced learning. This course is intended for individuals interested in deep learning, specifically those looking to enhance their skills in cross-validation techniques using TensorFlow and Keras.