KerasCV is a computer vision library that allows you to train state-of-the-art models for object detection, and segmentation, and even generate your own images with stable diffusion. In this workshop, first, you'll learn how to use the library to train your own object detection models using RetinaNet. Next, you'll generate images with Stable Diffusion, and finally, you'll learn about advanced topics like classifying 3D data and vision transformers. We'll start at a beginner level with hands-on code examples you can try, and we'll work our way up to more advanced examples. All skill levels are welcome!
PIZZA and drinks following the event!
RSVP at GDG hoboken : https://tinyurl.com/mpsn6nh4
Developer Relations Engineer
Shilpa Kancharla is an engineer on the TensorFlow team at Google, based in San Francisco, CA. She works on making TensorFlow, Keras, and other machine learning applications easily accessible and learnable to the developer community. She earned her MS in Computer Science at North Carolina State University and her BS in Applied Mathematics at the University of North Carolina at Chapel Hill. …
Shilpa Kancharla is an engineer on the TensorFlow team at Google, based in San Francisco, CA. She works on making TensorFlow, Keras, and other machine learning applications easily accessible and learnable to the developer community. She earned her MS in Computer Science at North Carolina State University and her BS in Applied Mathematics at the University of North Carolina at Chapel Hill.
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