#loss-function

SPT TCH AI SCI

DR Dr Swarneendu AI · Data Science Collective

Your Loss Function Quietly Decides Which Mistakes to Make.

Five numbers, and you must summarize them with a single guess. Which guess is best? The startling answer: it depends entirely on how you…

Jul 02, 2026 · 8 min read · 17 claps paywalled #loss-function #mean #median

AI HUM

AB Abhishek Agrawal

Why AI is Human? How Learning Rate Works

The Step Size of Learning

Jun 21, 2026 · 5 min read · 0 claps #learning-rate #loss-function #hyperparameter-tuning

ART HUM AI SCI

MO Mohammed Saim Quadri

The Loss Function Manual: Matching Your Architecture to the Right Math

In our last post, we explored how activation functions act as the mathematical gates of a neural network. But once data passes through…

Jun 09, 2026 · 3 min read · 0 claps #deep-learning #machine-learning #mathematics

AI HUM

SA Sami

MAE vs MSE

Picking the Right Loss Function Changes Everything in Linear Regression

May 24, 2026 · 2 min read · 0 claps #machine-learning #ai #loss-function

HUM AI

YO Yogeswari Lakshmiraman

Machine Learning Series (Part 25) — Too Fast or Too Slow?

Dear readers, we are in the arc of knowing about the gradient descent which is the engine that optimizes the ML models. From part 22 to 24…

Apr 26, 2026 · 8 min read · 0 claps #learning-rate #gradient-descent #convergence

SCI TCH

WE Wei Rui

A Software Engineer’s Intuition for Gradient Descent

A Software Engineer’s Intuition for Gradient Descent

Apr 12, 2026 · 7 min read · 1 claps #gradient-descent #central-limit-theorem #ml-for-software-engineers

AI ECO HUM

GE Geoffrey Gordon Ashbrook

Loss Functions for Task Outcomes & Preconditions for Learning

Variations in Validation-Test Definitions and Training Input Formatting

Mar 15, 2026 · 31 min read · 2 claps #tokenizer #loss-function #transformers

AI HUM

KO Kobi Toueg · The Thoughtful Engineer

AI/ML Under the Hood — Part 16: Maximum Likelihood — Maximum Likelihood and the Origin of Least…

How noisy measurements lead to the most famous loss function in machine learning

Mar 04, 2026 · 9 min read · 47 claps paywalled #maximum-likelihood #machine-learning #ai

HUM AI

PA Pallavi Krishna

Cross-Entropy Loss Explained (With a Binary Classification Example)

If you’ve worked with classification models — logistic regression, neural networks, or deep learning — you’ve almost certainly seen…

Jan 29, 2026 · 3 min read · 1 claps #cross-entropy-loss #binary-cross-entropy #loss-function

HUM AI

AA Aashirarai

Proximal Policy Optimization (PPO) in Practice: HalfCheetah-v5 Baselines and a Clipping Ablation

If you’ve seen modern reinforcement learning (RL) applied to continous control (MuJoCo, robotics, locomotion), you’ve probably run into…

Jan 12, 2026 · 9 min read · 0 claps #reinforcement-learning #proximal-policy #loss-function

HUM AI TCH

AB AbhinayaPinreddy · Towards AI

“Understanding Loss Functions and Optimization Algorithms in Artificial Neural Networks(ANNs)”

Understanding Loss Functions in Regression and Classification

Oct 21, 2025 · 5 min read · 12 claps #loss-function #optimiser #deep-learning

ECO HUM AI SCI LIF

RA Rayan Yassminh

Math For ML: The Functions You Need to Know

Functions are a fundamental concept in algebra and a cornerstone of machine learning. At their core, functions define a relationship…

Jun 11, 2025 · 13 min read · 56 claps #linear-algebra #machine-learning-math #mathematical-function

ECO HUM AI SCI

BA Balasaravanan

Why MAE Leads to Slower Optimization: A Mathematical Perspective

When training machine learning models, the choice of loss function plays a critical role in determining how quickly and effectively the…

May 21, 2025 · 4 min read · 0 claps #cost-function #loss-function #gradient-descent

HUM AI SCI

DE Deepankar Singh · AI-Enthusiast

Cross-Entropy and Log Loss: Mathematical Foundations and Their Use in Classification

Understanding Cross-Entropy and Log Loss: Math, Intuition, and Python for Classification Models

Apr 12, 2025 · 14 min read · 177 claps paywalled #cross-entropy #loss-function #machine-learning

SOC

AB Abhishek Jain

GIoU, CIoU and DIoU: Variants of IoU and how they are better compared to IoU

GIoU, DIoU and CIoU were introduced to address limitations of the basic Intersection over Union (IoU) loss, which is commonly used in…

Feb 03, 2025 · 4 min read · 103 claps #giou #ciou #diou

VA Vamshi Bukya

YoloV1 (You only look once)

Problem Statement: Efficiently detect and classify objects in images while balancing speed and accuracy.

Jan 24, 2025 · 5 min read · 0 claps paywalled #object-detection-model #yolov1 #single-stage-detection

SPT

HA hanleju

[Summary] Attention-Guided Digital Adversarial Patches on Visual Detection

Paper Link:

Jul 30, 2024 · 3 min read · 0 claps #adversarial-example #adversarial-patch #explainable-ai

TCH

MO Mohammad Daraeee

Generative Adversarial Networks (GANs)

link to codes of this article: https://github.com/Mhddaraaa/start/tree/main/Generative_Adversarial_Networks(GANs)

Jan 25, 2024 · 5 min read · 52 claps #generative-adversarial #loss-function #lipschitz-continuity

HUM AI

PR Proud Jiao

What is Backpropagation?

When newbies just started learning Neural Networks, they often hear “Back Propagation” but have no idea what it is. Believe me. I was once…

Jul 11, 2023 · 2 min read · 0 claps #gradient-descent #backpropagation #neural-networks