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Interpretability in Deep Learning With Weights & Biases: CAM and Grad-CAM
Ayush ThakurApr 27Intermediate, Computer Vision, Object Detection, Keras, Experiment, CAM, Panels, Plots, Slider
Transfer Learning With the EfficientNet Family of Models
Sayak PaulApr 26Intermediate, Computer Vision, Classification, Transfer Learning, Keras, Experiment, EfficientNet, Plots, Cat v Dog
Towards Deep Generative Modeling With Weight & Biases
Ayush ThakurApr 14Intermediate, Computer Vision, GenAI, OCR, Keras, Experiment, Tutorial, GAN, Github, Panels, Plots, Sweeps, MNIST
Digging Into KITTI With Weights & Biases With PyTorch-Lightning Kitti
Boris DaymaMar 29Intermediate, Computer Vision, Object Detection, Semantic Segmentation, PyTorch Lightning, Experiment, Github, Plots, Sweeps, KITTI, Autonomous Vehicles
Visualizing and Debugging Neural Networks with PyTorch and Weights & Biases
Lavanya ShuklaMar 25Beginner, Domain Agnostic, Object Detection, PyTorch, Experiment, Panels, Plots, Sweeps, MNIST
Understanding State of the Art in Deep Learning: 3D Semantic Segmentation
Nicholas BardyFeb 22Intermediate, Computer Vision, 3D, Semantic Segmentation, Experiment, U-Net, Plots, ShapeNet
Curriculum Learning in Nature Using the iNaturalist 2017 Dataset
Stacey SvetlichnayaFeb 08Intermediate, Computer Vision, Object Detection, Experiment, CNN, Plots, iNaturalist
Classify the Natural World with Weights & Biases
Stacey SvetlichnayaFeb 08Advanced, Computer Vision, Object Detection, Keras, Experiment, CNN, Plots, ImageNet, iNaturalist, Exemplary
Hyperparameters of a Simple CNN Trained on Fashion MNIST
Stacey SvetlichnayaFeb 07Intermediate, Computer Vision, Object Detection, Experiment, CNN, Slider, Sweeps
Semantic Segmentation: The View from the Driver's Seat
Stacey SvetlichnayaFeb 06Advanced, Computer Vision, 3D, Object Detection, Semantic Segmentation, fastai, Experiment, CNN, ResNet, U-Net, Github, Panels, Plots, Slider, Sweeps, Berkeley Deep Drive, Autonomous Vehicles, Exemplary
Meaning and Noise in Hyperparameter Search with Weights & Biases
Stacey SvetlichnayaJan 10Intermediate, Computer Vision, Object Detection, PyTorch, Experiment, RNN, Plots, Sweeps, MNIST
Recurrent Neural Networks for Video Understanding
rchavezjJan 09Intermediate, Computer Vision, Video, Object Detection, Keras, PyTorch, Experiment, Research, RNN, Plots
Colorizing Black and White Images with Weights & Biases
Nicholas BardyDec 06Intermediate, Computer Vision, Domain Transfer, Benchmark, Experiment, Panels, Plots
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