Deep Learning with Keras

This course starts with an introduction to Keras, explaining its advantages in deep learning. You’ll explore neural networks, understanding how they mimic human intelligence for data processing and predictions.

Next, you’ll learn to build and evaluate deep learning models, covering regression, early stopping, and optimization techniques. The course then shifts focus to Convolutional Neural Networks (CNNs), guiding you through feature extraction, image processing, and model evaluation.

Advanced topics include hyperparameter tuning and transfer learning, where you’ll work with VGG16 and compare fine-tuning vs. feature extraction. You’ll apply your knowledge in a real-world plant pathology project, enhancing model accuracy for disease detection.By the end of this course, you'll have hands-on experience in deep learning applications using Keras, equipping you with industry-relevant skills for AI development.