Implementing Transfer Learning and Fine-tuning in Keras

Implementing Transfer Learning and Fine-tuning in Keras

Leverage Transfer Learning in Keras to enhance deep learning performance. By using pre-trained models like ImageNet, you can adapt to new tasks with smaller datasets. Explore feature extraction and fine-tuning to boost efficiency in computer vision tasks like image classification and object detection. Achieve better results with less data and resources.
Working with Embeddings in Keras

Working with Embeddings in Keras

Maximize efficiency and enhance categorical data representation with embeddings in Keras. Learn how these powerful features capture semantic relationships and reduce dimensionality, making them perfect for natural language processing applications. Explore the use of pre-trained embeddings for optimal results.