Visualizing image embeddings in a 2D space
- Setting up GPU and TPU usage on Kaggle Noteboks
- Setting up a wandb API token and using it on Kaggle Notebooks and Google Colab
- Setting up kagglehub on Google Colab
- Digital Image Representation in PIL, NumPy, and PyTorch
- Training a Perceptron for Image-based Regression
- Fundamentals of Convolutional Networks with LeNet5 on Kaggle's Digit Recognition Competition
- Looking into LeNet5 with Random Weight Initialization
- Classifying Pet Images by Breed
- Intuitions about Image Embeddings and Pairwise Comparison
- Scraping Public Domain Artwork from Bing Images
- Extracting Embeddings with a Pretrained Resnet34
- Visualizing Embedding and Clustering Vector Spaces with FiftyOne
- Visualizing Image Embeddings with TensorBoard
- Running FiftyOne on a Github Codespace
- Image Neighborhoods with sklearn
- Running Imagenet-pretrained Resnets for classification
- Fine-tuning a Resnet for multilabel classification
- Introduction to CLIP and Zero Shot Classification
You can find us in the channel #practical-computer-vision-workshops
Feel free to fork and use the content, please keep the Creative Commons Attribution License.
antonio.rueda.toicen 'at' hpi 'dot' de
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