IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Mlearning.ai

MAY 8, 2023

A comprehensive step-by-step guide with data analysis, deep learning, and regularization techniques Introduction In this article, we will use different deep-learning TensorFlow neural networks to evaluate their performances in detecting whether cell nuclei mass from breast imaging is malignant or benign.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 3, 2024

Common activation functions include: Sigmoid: This function maps input values to a range between 0 and 1, making it useful for binary classification tasks. ReLU is widely used in Deep Learning due to its simplicity and effectiveness in mitigating the vanishing gradient problem.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

ODSC - Open Data Science

MARCH 17, 2023

How to Deploy a Deep Learning Model with Jina, Announcing GPT-4, and Multimodal Visual Question Answering How to Deploy a Deep Learning Model with Jina (and Design a Kitten Along the Way) Learn how to build and deploy an Executor that uses Stable Diffusion to generate images.

Deep Learning 52

Deep Learning Deep Learning Data Classification Machine Learning 52