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What does Weights & Biases do?

Towards Data Science

Weights & Biases (W&B) is a machine learning platform geared towards developers for building better models faster. I decided to roll up my sleeves one afternoon and give it a spin.

Weights, Biases, and Backpropagation

Towards Data Science

Neural networks are complex, powerful artificial intelligence (AI) systems that perform tasks such as identifying objects in a photograph or words in live or recorded speech. The name comes from how…

Confusion over Bias

Towards Data Science

There have been a lot of great articles written lately about ethics and bias in artificial intelligence and machine learning, but each article reminds me of the often difficult conversations and…

Introduction to Weight & Biases: Track and Visualize your Machine Learning Experiments in 3 Lines…

Towards Data Science

If you have applied machine learning or deep learning for your data science projects, you probably know how overwhelming it is to keep track and compare different experiments. In each experiment, you…...

Let’s Learn: Neural Nets #4 — Weights and Biases

Python in Plain English

Let’s Learn: Neural Nets 4 — Weights and Biases A primer on weights and biases, and their role in neural networks. Not that kind of weight… Photo by Gene Jeter on Unsplash A recap Following on from m...

What’s The Role Of Weights And Bias In a Neural Network?

Towards Data Science

In this article, you will learn about the weights and bias of a neural network, you will find an answer for "What is use of bias and weights in the neural network?"

Biases in Machine Learning

Towards Data Science

Whether you like it or not, the impact of machine learning on your life is growing very rapidly. Machine learning algorithms determine whether you would get the mortgage for your dream home, or if…

Bias and Variance

Analytics Vidhya

If you are familiar with Machine Learning, you may heard about bias and variance. But if not, don’t worry, we’re going to explain them in a simple way step-by-step. Let’s use a reverse approach, we…

Understanding Bias in the Simplest Plausible Way

Towards AI

I have recently started exploring Neural networks, and I came across the term activation function and biases. Activation function kinda made some sense to me, but I found it difficult to get the…

Bias & Variance- The Ultimate Trade-Off

Analytics Vidhya

The goal of the algorithm here is to best estimate the function (f) being mapped for the output variable (Y) given the input data (X). The mapping function (f) is often also called as the target…

Bias and Variance in Machine Learning

Analytics Vidhya

One of the most important metrics in machine learning.. “Bias and Variance in Machine Learning” is published by Bogdan Samoletskyi in Analytics Vidhya.

Why We Need Bias in Neural Networks

Towards Data Science

The term “bias” has a lot of pejorative connotations. When we think of it, we see unfair treatment, prejudice, discrimination, or favoring someone or something. And it’s natural. We live in a world…

Introduction to TensorFlow with Weights and Biases

Towards Data Science

In this tutorial, I will walk you through a simple convolutional neural network to classify the images in FashionMNIST using TensorFlow. I will first set up Weights & Biases to log models metrics…

Making sense of bias and variance!

Towards Data Science

A beginner-friendly primer on two fundamental data science concepts Continue reading on Towards Data Science

Artificial Neural Networks (Part 1)-Role of Activation Function, weights and bias.

Analytics Vidhya

ANN is a software implementation of neural structure of Human brain. The human brain is a complex network of Neurons connected to each other, which process output when simulated. We can see that the…

Bias & Variance in Machine Learning

Analytics Vidhya

Bias is the error between average model prediction and ground truth. It tells us the capacity of the underlying model to predict the values. High bias can cause an algorithm to miss the relevant…

June Edition: Bias in the machine

Towards Data Science

As machine learning applications become more widespread, there has been great interest in implementing algorithms to transform usual business processes to realize efficiencies. From loan approvals to…...

Bias

Analytics Vidhya

You must heard about bias before at least once if you are interested in statistics or any other fields that has similar points with statistics. It was the first grade of the university when I ever…

Bias-Variance decomposition 101: a step-by-step computation.

Analytics Vidhya

Have you ever heard of “bias–variance dilemma” in ML? I’m sure your answer is yes if you are here reading this article :) and there is something else I’m sure of: you are here because you hope to…

The Bias-Variance Tradeoff

Towards Data Science

In this post, we will explain the bias-variance tradeoff, a fundamental concept in Machine Learning, and show what it means in practice. We will show that the mean squared error of an unseen (test)…

Bias, Variance, and Regularization

Towards Data Science

A dilemma that every budding data scientist faces is to come to terms with words like overfit, under fit, bias, variance and last but not least regularization. A funny colleague of mine would give…

Bias in machine learning algorithms

Towards Data Science

I was able to attend the talk by Prof. Sharad Goyal on various types of bias in our machine learning models and insights on some of his recent work at Stanford Computational Policy Lab. This really…

Bias in Artificial Intelligence

Towards Data Science

Artificial Intelligence and Machine Learning are awesome. They allow our mobile assistants to understand our voices and book us an Uber. AI and Machine Learning systems recommend us books in Amazon…

Unboxing Weights, Biases, Loss : Hone in on Deep Learning

Towards AI

Unboxing Weights, Biases, Loss: Hone in on Deep Learning Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn fro...