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Writing a Training Loop in JAX and Flax

Soumik Rakshit, Saurav Maheshkar

Jul 29

Articles, Computer Vision, Object Detection, CIFAR10, CNN, JAX, Tutorial, Advanced

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The Power of Random Features of a Convolutional Neural Network (CNN)

May 18

Intermediate, Computer Vision, Object Detection, Keras, Experiment, Research, CNN, ResNet, Panels, Plots, CIFAR10, Normalization

Kaggle Starter Kernel: Jigsaw Multilingual Toxic Comment Classification

Apr 07

Intermediate, NLP, Classification, scikit-learn, Tutorial, CNN, DistilBERT, Panels, Plots, Kaggle

Curriculum Learning in Nature Using the iNaturalist 2017 Dataset

Stacey Svetlichnaya

Feb 08

Intermediate, Computer Vision, Object Detection, Experiment, CNN, Plots, iNaturalist

Classify the Natural World with Weights & Biases

Stacey Svetlichnaya

Feb 08

Advanced, Computer Vision, Object Detection, Keras, Experiment, CNN, Plots, ImageNet, iNaturalist, Exemplary

Hyperparameters of a Simple CNN Trained on Fashion MNIST

Stacey Svetlichnaya

Feb 07

Intermediate, Computer Vision, Object Detection, Experiment, CNN, Slider, Sweeps

Semantic Segmentation: The View from the Driver's Seat

Stacey Svetlichnaya

Feb 06

Advanced, Computer Vision, 3D, Object Detection, Semantic Segmentation, fastai, Experiment, CNN, ResNet, U-Net, Github, Panels, Plots, Slider, Sweeps, Berkeley Deep Drive, Autonomous Vehicles, Exemplary

Distributed Training with Weights & Biases

Stacey Svetlichnaya

Mar 29

Intermediate, Computer Vision, Distributed Training, Object Detection, Keras, Experiment, CNN, Plots, iNaturalist

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