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Part 2: Deep Representations, a Way Towards Neural Style Transfer
Aritra Roy Gosthipaty, Devjyoti Chakraborty
Sep 22
Intermediate, Computer Vision, GenAI, Experiment, Research, CNN, Github, Panels, Plots, Slider, ImageNet
Part 1: Deep Representations, a Way Towards Neural Style Transfer
Aritra Roy Gosthipaty, Devjyoti Chakraborty
Sep 21
Intermediate, Computer Vision, GenAI, Experiment, Research, CNN, Github, Panels, Plots, Slider, ImageNet
An Example of Transformer Reinforcement Learning
Leandro von Werra
May 13
Intermediate, NLP, Reinforcement Learning, HuggingFace, Experiment, Panels, Plots, Slider, Sweeps
Activation Functions Compared With Experiments
Sweta Shaw
May 11
Beginner, Domain Agnostic, Guide, Github, Panels, Plots, Slider
Interpretability in Deep Learning With Weights & Biases: CAM and Grad-CAM
Ayush Thakur
Apr 27
Intermediate, Computer Vision, Object Detection, Keras, Experiment, CAM, Panels, Plots, Slider
Visualize, Track, and Compare fastai Models With Weights & Biases
Boris Dayma
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
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
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