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What Is Cross Entropy Loss? A Tutorial With Code
Saurav MaheshkarSep 29Beginner, Domain Agnostic, Keras, PyTorch, Tutorial, Plots, Cross Entropy Loss, Exemplary

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Creating Custom Scatter Plots With Weights & Biases
Stacey SvetlichnayaNov 10Beginner, Domain Agnostic, W&B Meta, Github, Custom Charts, Plots, iNaturalist

Creating Custom Histograms With Weights & Biases
Stacey SvetlichnayaNov 10Beginner, Domain Agnostic, W&B Meta, Github, Custom Charts, Plots, iNaturalist

Survival of the Fittest CNN Model
Aritra Roy Gosthipaty, Puja RoychowdhuryNov 05Intermediate, Domain Agnostic, Experiment, CNN, Plots, Sweeps, CIFAR10, Kaggle

The W&B Machine Learning Visualization IDE
Shawn Lewis, Carey Phelps, Stacey Svetlichnaya, John Qian, Kyle Goyette, Tom HolmesOct 12Beginner, Domain Agnostic, W&B Meta, Custom Charts

Part 2 – Comparing Message-Passing-Based GNN Architectures
Yash KotadiaAug 28Intermediate, Domain Agnostic, Classification, PyTorch, Experiment, Tutorial, GNN, Sweeps

An Introduction to Adversarial Examples in Deep Learning
Sayak PaulAug 23Intermediate, Computer Vision, Domain Agnostic, PyTorch, Tutorial, GAN, Github, Panels, Plots

Organize Your Machine Learning Pipelines With Artifacts in Weights & Biases
Ayush ChaurasiaJul 27Beginner, Computer Vision, Domain Agnostic, Object Detection, PyTorch, W&B Meta, YOLO, Github, Artifacts, Panels, Plots

Implementing and Tracking the Performance of a CNN in PyTorch
Ayush ThakurJul 07Intermediate, Computer Vision, Domain Agnostic, Object Detection, PyTorch, Tutorial, CNN, Plots, Sweeps, CIFAR10

The Power of Random Features of a Convolutional Neural Network (CNN)
Sayak PaulMay 18Intermediate, Computer Vision, Object Detection, Keras, Experiment, Research, CNN, ResNet, Panels, Plots, CIFAR10, Normalization

Distributed Training in tf.Keras With Weights & Biases
Sayak PaulApr 09Advanced, Domain Agnostic, Keras, Tutorial, MobileNet v2, Github, Plots, Distributed Training

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