Analytics Vidhya

JULY 24, 2021

The post Implementing LSTM for Human Activity Recognition using Smartphone Accelerometer data appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by kevin laminto on Unsplash Ever wondered how your smartphone.

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Analytics Vidhya

APRIL 21, 2021

Introduction In the application of the Convolution Neural Network(CNN) model, The post Neural Networks and Activation Function appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

AUGUST 26, 2021

The post Best Practices and Performance Tuning Activities for PySpark appeared first on Analytics Vidhya. In the initial development phase, we used to get few environmental errors which took lots of time to debug and get […].

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Machine Learning Mastery

MAY 2, 2023

Last Updated on May 3, 2023 As neural networks become increasingly popular in the field of machine learning, it is important to understand the role that activation functions play in their implementation.

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Analytics Vidhya

SEPTEMBER 13, 2021

The post Active Contours – A Method for Image Segmentation in Computer Vision appeared first on Analytics Vidhya. As human beings, it is very easy for us to recognize any object. We can easily recognize hills, trees, land, animals, etc. but computers do not have eyes nor brains, so it […].

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Analytics Vidhya

APRIL 13, 2021

Introduction In Deep learning, a neural network without an activation. The post Activation Functions and their Derivatives – A Quick & Complete Guide appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

JANUARY 30, 2022

The post Activation Functions for Neural Networks and their Implementation in Python appeared first on Analytics Vidhya.

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Machine Learning Mastery

FEBRUARY 14, 2023

Without any activation functions, they are just matrix multiplications with limited power, regardless how many of them. Activation is the magic why neural network can be an approximation to a wide variety of non-linear function. A deep learning model in its simplest form are layers of perceptrons connected in tandem.

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Analytics Vidhya

JANUARY 29, 2020

Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep learning Code activation functions. The post Fundamentals of Deep Learning – Activation Functions and When to Use Them? appeared first on Analytics Vidhya.

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Extreme Tech

APRIL 30, 2024

The 'out of sight, out of mind' effects of lithium extraction, oil and natural gas drilling, and other subsurface activities are taking place about 500 meters beneath our feet.

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Flipboard

JANUARY 6, 2024

We found that a remarkable amount of activity occurs outside of public monitoring systems. A new map and data provide the most comprehensive public picture available of industrial uses of the ocean. Humans are racing to harness the ocean’s vast potential to power global economic growth. Worldwide, …

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Marktechpost

APRIL 26, 2024

This problem is exacerbated by the models’ dense activation patterns, which demand substantial computational resources. Activation sparsity is promoted through methods like ReLU in large models. Efficiency in LLMs remains a primary challenge as their size and complexity increase.

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Machine Learning Research at Apple

MAY 1, 2024

Despite recent trends favoring alternative activation functions such as GELU or SiLU, known for increased computation, this study strongly advocates for reinstating ReLU activation in LLMs. However, their demanding computation during inference has raised significant challenges for deployment on resource-constrained devices.

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Extreme Tech

MAY 29, 2024

This is the second detection of active geology on the surface of Venus.

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Marktechpost

DECEMBER 6, 2023

Deep active learning (DAL) is a technique that combines active learning with deep learning. Active learning helps select the most valuable data points for labeling, while deep learning helps models learn complex patterns from that data. Traditional solutions involve hiring human annotators or using crowdsourcing platforms.

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Marktechpost

APRIL 10, 2024

In imbalanced classification problems, active learning presents substantial challenges, mainly due to the intrinsic rarity of minority classes. Using conventional pool-based active learning techniques on these unbalanced datasets comes with its own set of challenges. Check out the Paper and Github.

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Google Research AI blog

MAY 31, 2023

Today we describe DIDACT (​​Dynamic Integrated Developer ACTivity), which is a methodology for training large machine learning (ML) models for software development. We leverage instrumentation of Google's software development to scale up the quantity and diversity of developer-activity data beyond previous works.

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Viso.ai

JANUARY 18, 2024

At the heart of this exploration lies the concept of neuron activation. Viso Suite is a no-code computer vision platform Neuron Activation: Neuronal Firing in the Brain The human brain has approximately 100 billion neurons, each connected to thousands of other neurons through trillions of synapses. To learn more, book a demo.

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Marktechpost

FEBRUARY 27, 2024

Future AI assistants will be able to access and analyze various contextual information gathered from the wearer’s activities and surroundings. To overcome this, a team of researchers from Meta has introduced the Aria Everyday Activities (AEA) dataset. Check out the Paper and Github.

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AWS Machine Learning Blog

APRIL 22, 2024

To solve this pain point, we can use Lightweight Directory Access Protocol (LDAP) and LDAP over TLS/SSL (LDAPS) to integrate with a directory service such as AWS Directory Service for Microsoft Active Directory. Wait until the status changes from Creating to Active , which can take 20–30 minutes. The directory creation starts.

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Marktechpost

JANUARY 15, 2024

Researchers from the Beijing Academy of Artificial Intelligence, Gaoling School of Artificial Intelligence, and Renmin University of China have proposed Activation Beacon. It leverages the idea that LLM’s raw activations contain redundant information, condensing them with minimal loss. Check out the Paper.

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Marktechpost

MAY 25, 2024

By computing key/value projections for only a subset of layers and allowing other layers to reuse KV activations from previous layers, CLA achieves a significant reduction in the KV cache memory footprint. CLA enables the sharing of key and value heads not only within a layer but also across adjacent layers.

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Flipboard

FEBRUARY 28, 2023

Fortunately, as more and more ML engineers have embraced a data-centric approach to AI development, the implementation of active learning strategies have been on the rise. What is active learning? Active learning makes training a supervised model an iterative process.

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Marktechpost

FEBRUARY 2, 2024

Researchers use LLMs to unravel the mysteries surrounding language processing and develop innovative strategies for influencing neural activity. Don’t Forget to join our Telegram Channel The post Unlocking the Brain’s Language Response: How GPT Models Predict and Influence Neural Activity appeared first on MarkTechPost.

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Marktechpost

JULY 23, 2023

Researchers have been putting in a lot of effort in developing an approach with the help of which the intrinsic muscle activity can be simulated that drives human mobility. Surface electromyography (sEMG) sensors, which are available in invasive and non-invasive versions, are the traditional tool for determining muscle activity.

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Flipboard

JULY 17, 2023

A team of scientists recently found they could predict which songs would become popular hits by measuring people’s brain activity while they listened …

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Marktechpost

JANUARY 23, 2024

The problem at hand is how to efficiently search large areas to find and stop such activities. Louis sought to address this by developing a novel Visual Active Search (VAS) framework that combines computer vision and adaptive learning to improve search techniques. A team of researchers from Washington University in St.

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Mlearning.ai

MARCH 26, 2023

Each input is multiplied by a set of weights and passed through an activation function to produce an output value. The activation function determines whether the neuron should “fire” and pass on the signal to the next network layer. What is Activation Function? Picture from [link] Diving in further, specifically. What is ReLU?

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TheSequence

JULY 18, 2023

Created Using Midjourney In this Issue: An overview of active prompting. A review of the original active prompting paper by researchers from the University of Toronto. 💡 ML Concept of the Day: What is Active Prompting? A walkthrough Microsoft Guidance framework for language model programming.

ML 52

ML 52

Machine Learning Research at Apple

NOVEMBER 15, 2023

Despite recent trends favoring alternative activation functions such as GELU or SiLU, known for increased computation, this study strongly advocates for reinstating ReLU activation in LLMs. However, their demanding computation during inference has raised significant challenges for deployment on resource-constrained devices.

Large Language Models 59

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Towards AI

FEBRUARY 22, 2024

In this article we’ll take a deeper look into activations, gradients and batch normalization. Photo by ray rui on Unsplash In previous article we implemented a Multi Layer Perceptron with 2 Hidden Layers. We observed an improvement over our original model which made use of probability distribution to generate random names.

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Marktechpost

JUNE 27, 2023

Activation functions for neural networks are an essential part of deep learning since they decide the accuracy and efficiency of the training model used to create or split a large-scale neural network and the output of deep learning models. They effectively choose which neurons to activate or deactivate to achieve the intended result.

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Machine Learning Research at Apple

MARCH 13, 2024

Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition. However, practitioners face significant obstacles when dealing with sensing heterogeneities, requiring custom models for different platforms.

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Flipboard

DECEMBER 26, 2023

Imagine if you could communicate with anyone without saying a word, just by thinking. That’s the promise of a new technology developed by researchers from the University of Technology Sydney (UTS), who have created a portable, non-invasive system that can decode silent thoughts and turn them into …

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AWS Machine Learning Blog

SEPTEMBER 21, 2023

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab , build an active learning framework on AWS to automate the processing of passenger documents. “In Incorporating active learning results in exponentially decreasing costs with each new batch of data.

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