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Activation Functions Compared With Experiments

May 11

Beginner, Domain Agnostic, Guide, Github, Panels, Plots, Slider

A Step-by-Step Guide to Tracking HuggingFace Model Performance

May 08

Beginner, NLP, HuggingFace, Tutorial, DistilBERT, Plots, Data

Adversarial Policies in Multi-Agent Settings

Stacey Svetlichnaya

May 07

Intermediate, Reinforcement Learning, Experiment, Research, Github, Panels, Plots

Boris Dayma, Colorizing Wizard

May 06

Image manipulation

New Feature: Run Spam Filter

May 04

W&B Features

Optimizing CIFAR-10 Hyperparameters with W&B and SageMaker

May 03

W&B Features

A Tale of Model Quantization in TF Lite

Apr 29

Intermediate, Computer Vision, Keras, TensorFlow Lite, Experiment, MobileNet v2, Panels, Plots

Interpretability in Deep Learning With Weights & Biases: CAM and Grad-CAM

Apr 27

Intermediate, Computer Vision, Object Detection, Keras, Experiment, CAM, Panels, Plots, Slider

Transfer Learning With the EfficientNet Family of Models

Apr 26

Intermediate, Computer Vision, Classification, Transfer Learning, Keras, Experiment, EfficientNet, Plots, Cat v Dog

Exploring Bounding Boxes for Object Detection With Weights & Biases

Stacey Svetlichnaya

Apr 24

Beginner, Computer Vision, Object Detection, W&B Meta, YOLO, Panels, Berkeley Deep Drive, Autonomous Vehicles

How Efficient Is EfficientNet?

Ajay Arasanipalai

Apr 22

Intermediate, Computer Vision, PyTorch, Research, EfficientNet, ResNet, Plots

Experimenting with EvoNorm Layers in TensorFlow 2

Apr 19

Intermediate, Computer Vision, Classification, Keras, Research, EfficientNet, MobileNet v2, ResNet, Github, Plots, Sweeps, CIFAR10

Visualize, Track, and Compare fastai Models With Weights & Biases

Apr 17

Beginner, Computer Vision, Semantic Segmentation, fastai, Tutorial, W&B Meta, Artifacts, Panels, Plots, Slider

Image Masks for Semantic Segmentation Using Weights & Biases

Stacey Svetlichnaya

Apr 16

Intermediate, Computer Vision, Semantic Segmentation, W&B Meta, Slider, Berkeley Deep Drive

Deep Q Networks (DQN) With the Cartpole Environment

Apr 15

Intermediate, Reinforcement Learning, Experiment, Tutorial, DQN, Panels, Plots, Sweeps

Towards Deep Generative Modeling With Weight & Biases

Apr 14

Intermediate, Computer Vision, GenAI, OCR, Keras, Experiment, Tutorial, GAN, Github, Panels, Plots, Sweeps, MNIST

Drought Watch Benchmark Progress

Stacey Svetlichnaya

Apr 11

Intermediate, Computer Vision, Object Detection, Keras, Benchmark, Github, Plots, Sweeps

Distributed Training in tf.Keras With Weights & Biases

Apr 09

Advanced, Domain Agnostic, Keras, Tutorial, MobileNet v2, Github, Plots, Distributed Training

Log ROC Curves, Precision-Recall Curves, and Confusion Matrices With W&B

Apr 09

Beginner, Domain Agnostic, W&B Meta, Plots

The effects of weight initialization on neural nets

Apr 07

W&B Features

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