Results

Search Results for: neural network – Page 2

Neural network 2.0: a major breakthrough in edge computing

AI Origins & Evolution

Neural network 2.0: a major breakthrough in edge computing

AIPEs powered neural network 2.0 technology can replace conventional MAC operations.

03/01/2022

AI Mysteries

What is a Quantum Convolutional Neural Network?

Convolutional Neural Networks have the limitation that they learn inefficiently if the data or model dimension is very large.

26/12/2021

AI News & Update

Google Launches A Tool That Can Scale and Parallelize Neural Networks

GSPMD separates programming an ML model from parallelization and is capable of scaling most deep learning network architectures

09/12/2021

AI Mysteries

How TensorFlow Probability is used in Neural Networks?

There are many cases where we get the requirements of probabilistic models and techniques in neural networks. These requirements can be filled up by adding probability layers to the network that are provided by TensorFlow.

05/12/2021

AI Mysteries

Beginner’s Guide to Using Attention Layer in Neural Networks

In many of the cases, we see that the traditional neural networks are not capable of holding and working on long and large information. attention layer can help a neural network in memorizing the large sequences of data.

04/12/2021

AI Mysteries

What is Activity Regularization in Neural Networks?

Deep neural networks are sophisticated learning models that are prone to overfitting because of their ability to memorize individual training set patterns rather than applying a generalized approach to unrecognizable data.

01/12/2021

AI Origins & Evolution

How Do Activation Functions Introduce Non-Linearity In Neural Networks?

The main job of an activation function is to introduce non-linearity in a neural network.

30/11/2021

AI Mysteries

Neural Network Hyperparameter Tuning using Bayesian Optimization

The Bayesian statistics can be used for parameter tuning and also it can make the process faster especially in the case of neural networks. we can say performing Bayesian statistics is a process of optimization using which we can perform hyperparameter tuning.

30/11/2021

AI Mysteries

How to Use Learning Rate Annealing with Neural Networks?

Learning rate is an important parameter in neural networks for that we often spend much time tuning it and we even don’t get the optimum result even trying for some different rates.

28/11/2021

AI Mysteries

How to Use Lambda Layer in a Neural Network?

the lambda layer has its own function to perform editing in the input data. Using the lambda layer in a neural network we can transform the input data where expressions and functions of the lambda layer are transformed.

27/11/2021

AI Mysteries

When to Apply L1 or L2 Regularization to Neural Network Weights?

L1 and L2 regularization techniques can be used for the weights of the neural networks. using regularization of weights we can avoid the overfitting problem of the network

25/11/2021

AI Mysteries

A Guide to Chainer: A Flexible Toolkit For Neural Networks

Implementing neural networks necessitates the use of a variety of specialized building elements, such as multidimensional arrays, activation functions, and automatic differentiation.

18/11/2021

AI Mysteries

A Tutorial on Spiking Neural Networks for Beginners

Despite being quite effective in a variety of tasks across industries, deep learning is constantly evolving, proposing new neural network (NN) architectures such as the Spiking Neural Network (SNN).

13/11/2021

AI News & Update

Team Of Software Engineers At Facebook Releases “Neural Network Compiler” For PyTorch 1.10

A team of software engineers at Facebook, led by Software Engineer Bertrand Maher, recently released a JIT compiler for CPUs based on LLVM, called NNC, for “Neural Network Compiler.”

11/11/2021

AI Mysteries

How to Use Graph Neural Networks for Text Classification?

There are a number of studies in which we can see that neural networks are generalized and can be applied to the regular grid structure which is helpful in working on arbitrarily structured graphs

07/11/2021

AI Origins & Evolution

Is Depth In Neural Networks Always Preferable? This Research Says the Contrary

Non-deep networks could be utilised to create low-latency recognition systems, rather than deep networks.

29/10/2021

AI News & Update

Google AI Releases Method To Determine Neural Network Learning Sequence

A method called Task Affinity Groupings (TAG) has been proposed by Google AI that determines which tasks should be trained together in multi-task neural networks.

26/10/2021

AI Origins & Evolution

Graph Neural Networks Are Trending, Here’s Why

GNNs can be deployed in computer vision, NLP, traffic network to solve different problems

22/10/2021

AI Mysteries

An Illustrated Guide to Dynamic Neural Networks for Beginners

Dynamic Neural networks can be considered as the improvement of the static neural networks by adding more decision algorithms we can make neural networks learning dynamically for the input.

10/10/2021

AI Origins & Evolution

Spiking Neural Networks: Why Is It Trending?

TTFS is a time-coding technique in which neurons’ activity is proportionate to their firing delay.

08/10/2021

AI Mysteries

Introduction to Probabilistic Neural Networks For Beginners

A probabilistic neural network (PNN) is a sort of feedforward neural network used to handle classification and pattern recognition problems.

05/10/2021

AI Mysteries

Exploring Graph Neural Networks

Data Scientists at CRED, Ravi Kumar and Samiran Roy explained the essence of using graph neural networks and how the emerging technology is being utilised by CRED.

27/09/2021

Google Introduces Families of Neural Networks To Train Faster, SOTA Performance

AI Origins & Evolution

Google Introduces Families of Neural Networks To Train Faster, SOTA Performance

In the future, we plan to optimise these models further and apply them to new tasks, such as zero-shot learning and self-supervised learning.

22/09/2021

AI Mysteries

Why Are Apple’s Researchers Interested In Neural Network Subspaces?

Neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance of independently trained networks without the training cost.

21/09/2021

AI Mysteries

What is the Plateau Problem in Neural Networks and How to Fix it?

This post explains most underlined
Plateau phenomenon and it’s remedies
which is related to optimization of ML model.

19/09/2021

AI Mysteries

A Beginner’s Guide to Neural Network Pruning

Neural network pruning, which comprises methodically eliminating parameters from an existing network, is a popular approach for minimizing the resource requirements at test time.

18/09/2021

AI Origins & Evolution

How Can Graph Neural Networks Help Google Maps Make Better ETA Predictions

A paper titled “ETA Prediction with Graph Neural Networks in Google Maps” presents a graph neural network estimator for an estimated time of travel (ETA).

03/09/2021

AI Origins & Evolution

Should Neural Networks Compose Music By The Same Logic & Process As Humans Do?

Not Quite My Tempo: Why Should We Care About AI Generated Music?

02/09/2021

AI Origins & Evolution

What A Neural Network Really Looks Like

A deep neural network is created by sandwiching “hidden” layers between the input and the output.

01/09/2021

AI Mysteries

LSTM Vs GRU in Recurrent Neural Network: A Comparative Study

Long Short Term Memory in short LSTM is a special kind of RNN capable of learning long term sequences. They were introduced by Schmidhuber and Hochreiter in 1997. It is explicitly designed to avoid long term dependency problems. Remembering the long sequences for a long period of time is its way of working.

28/08/2021

Contact Us

Subscribe to our newsletter

World's Biggest Media & Analyst firm specializing in AI

Advertise with us

AIM publishes every day, and we believe in quality over quantity, honesty over spin. We offer a wide variety of branding and targeting options to make it easy for you to propagate your brand.

Branded Content

AIM Brand Solutions, a marketing division within AIM, specializes in creating diverse content such as documentaries, public artworks, podcasts, videos, articles, and more to effectively tell compelling stories.

Corporate Upskilling

ADaSci Corporate training program on Generative AI provides a unique opportunity to empower, retain and advance your talent

Hackathons

With MachineHack you can not only find qualified developers with hiring challenges but can also engage the developer community and your internal workforce by hosting hackathons.

Talent Assessment

Conduct Customized Online Assessments on our Powerful Cloud-based Platform, Secured with Best-in-class Proctoring

Research & Advisory

AIM Research produces a series of annual reports on AI & Data Science covering every aspect of the industry. Request Customised Reports & AIM Surveys for a study on topics of your interest.

Conferences & Events

Immerse yourself in AI and business conferences tailored to your role, designed to elevate your performance and empower you to accomplish your organization’s vital objectives.

AIM Launches the 3rd Edition of Data Engineering Summit. May 30-31, Bengaluru

Join the forefront of data innovation at the Data Engineering Summit 2024, where industry leaders redefine technology’s future.

Results

Search Results for: neural network – Page 2

Contact Us

Subscribe to our newsletter

World's Biggest Media & Analyst firm specializing in AI

Advertise with us

AIM publishes every day, and we believe in quality over quantity, honesty over spin. We offer a wide variety of branding and targeting options to make it easy for you to propagate your brand.

Branded Content

AIM Brand Solutions, a marketing division within AIM, specializes in creating diverse content such as documentaries, public artworks, podcasts, videos, articles, and more to effectively tell compelling stories.

Corporate Upskilling

ADaSci Corporate training program on Generative AI provides a unique opportunity to empower, retain and advance your talent

Hackathons

With MachineHack you can not only find qualified developers with hiring challenges but can also engage the developer community and your internal workforce by hosting hackathons.

Talent Assessment

Conduct Customized Online Assessments on our Powerful Cloud-based Platform, Secured with Best-in-class Proctoring

Research & Advisory

AIM Research produces a series of annual reports on AI & Data Science covering every aspect of the industry. Request Customised Reports & AIM Surveys for a study on topics of your interest.

Conferences & Events

Immerse yourself in AI and business conferences tailored to your role, designed to elevate your performance and empower you to accomplish your organization’s vital objectives.

Subscribe to Our Newsletter