Delve deeper into the world of computer vision! This advanced course builds upon your understanding of convolutional neural networks and propels you into cutting-edge topics. Explore the power of vision transformers, unlock the potential of generative AI for creating realistic imagery, and master the fascinating world of diffusion models. This course equips you to tackle the latest advancements in computer vision and push the boundaries of the field.
- Hands-On Computer Vision with TensorFlow 2: https://github.com/PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2
- Teachable Machine: https://teachablemachine.withgoogle.com/
- TensorFlow Playground: https://playground.tensorflow.org/
- DeepDream Generator: https://deepdreamgenerator.com/
- ConvNet.ai: https://cs.stanford.edu/people/karpathy/convnetjs/started.html
- Kaggle Datasets: https://www.kaggle.com/datasets?tags=13207-Computer+Vision
- Papers With Code - Computer Vision: https://github.com/paperswithcode
- Deep Learning Book : https://www.deeplearningbook.org/
- A Gentle Introduction to Deep Learning for Computer Vision : https://arxiv.org/abs/2003.03253
- Vision Transformers
- How the Vision Transformer (ViT) works in 10 minutes