Break into Deep Learning for Image Data without Code

Join this one-hour webinar to learn about image representation in Computer Vision, Convolutional Neural Networks, and Transfer Learning with a low-code tool.
From satellite scenes to cell images and ad photographs, image data is overabundant. What strategies can we adopt to automate the image analysis process?
In recent years, deep learning architectures have brought us solutions to previously unsolved problems. But for most tools you still need to overcome the coding barrier. At this webinar, you’ll see KNIME’s Deep Learning Keras integration in action for defining, training, and deploying DL models all without coding.
Key takeaways:
- Get a basic introduction to the representation of images in Computer Vision.
- Learn about the key theoretical concepts behind Convolutional Neural Networks and their application for image classification.
- Find out how the performance of a simple CNN can be substantially improved thanks to Transfer Learning.