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The Softmax Activation Function Explained
Saurav Maheshkar
Jan 25
Beginner, Domain Agnostic, Classification, Tutorial, Softmax, Chum here
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Skin Lesion Classification on HAM10000 with HuggingFace using PyTorch and W&B
Brett Young
Feb 08
Articles, HuggingFace, Classification, PyTorch, Beginner
Train a Custom Text Classifier and NER Model using HuggingFace and SpaCy
Madhana Bala S K
Nov 30
Articles, HuggingFace, NLP, spaCy, Classification, Text Generation
How to Save a Classifier to Disk in Scikit-learn
Anish Shah
Jul 27
Articles, Intermediate, scikit-learn, Classification, Artifacts, Domain Agnostic, Recommender Systems
Understanding Logits, Sigmoid, Softmax, and Cross-Entropy Loss in Deep Learning
Aman Arora
Jun 02
Articles, PyTorch, Domain Agnostic, Classification, Computer Vision, Tutorial
The Softmax Function: The Workhorse of Machine Learning Classification
Thomas Capelle
Jun 02
Articles, Beginner, Tutorial, Panels, Classification
Prompt Engineering LLMs with LangChain and W&B
Anish Shah
Mar 21
Articles, Intermediate, Large Models, NLP, Question Answering, GenAI, Classification, LLM
A Gentle Introduction to Image Classification
Mostafa Ibrahim
Mar 09
Articles, Beginner, Computer Vision, Classification, Semantic Segmentation
Recommender Systems Using Hugging Face & NVIDIA
Andrea
Dec 14
Articles, HuggingFace, Classification, Beginner, Recommender Systems, W&B Features, Plots
A Guide to Multi-Label Classification on Keras
Ayush Thakur
Oct 14
Keras, Articles, Beginner, Domain Agnostic, Classification
Comparing Sigmoid-MSE With Softmax Cross-Entropy for Image Classification
Ayush Thakur
Oct 11
Articles, Computer Vision, Experiment, Object Detection, CIFAR10, Classification
Leveraging Pre-Trained Models for Image Classification
Thomas Capelle
May 27
TIMM, fastai, Tutorial, Transfer Learning, Computer Vision, Classification, Intermediate
How Well Can You Kaggle with Just One Hour a Day?
Sairam Sundaresan
Apr 28
Articles, Intermediate, Kaggle, Computer Vision, Classification, Tutorial
Tutorial: Regression and Classification on XGBoost
Saurav Maheshkar
Apr 01
Articles, Domain Agnostic, Classification
Integrating Keras with Weights & Biases
Justin Tenuto, Ayush Thakur
Feb 18
Beginner, Computer Vision, Classification, Keras, W&B Meta, Artifacts, Panels, Plots, Tables, MedMNIST
How to Build a Robust Medical Model Using Weights & Biases
Aman Arora
Feb 17
Intermediate, Computer Vision, Classification, PyTorch, Experiment, W&B Meta, Github, Artifacts, Panels, Plots, Sweeps, Tables, Kaggle, Health Care, Exemplary
Configuring W&B Projects with Hydra
Adrish Dey
Feb 03
Beginner, Computer Vision, Classification, Hydra, Tutorial, Panels, Sweeps, CIFAR10, MNIST
Interpret any PyTorch Model Using W&B Embedding Projector
Aman Arora
Jan 19
Intermediate, Computer Vision, Classification, PyTorch, Experiment, W&B Meta, Embedding Projector, Plots, Tables, Exemplary
ResNet Strikes Back: A Training Procedure in TIMM
Aman Arora
Dec 14
Intermediate, Computer Vision, Classification, PyTorch, TIMM, Experiment, Tutorial, ResNet, Tables
Introduction to K-Means Clustering (With Examples)
Saurav Maheshkar
Nov 24
Beginner, Computer Vision, Classification, scikit-learn, Tutorial, Panels, Plots, Iris, K-means, Chum here
Let's Talk ConvMixer Architecture. What it is? Why you should use it? And how you can use it?
Burhanuddin Rangwala
Nov 16
Intermediate, Computer Vision, Classification, Keras, Experiment, ConvMixer, Plots
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