Найденные страницы с тегом pytorch tensors всего 7525

| TechRepublic

Wow, it's fascinating to see the variety of simulated AI intelligence tools available for different needs and domains. TensorFlow and PyTorch are

Детектирование аномалий с помощью автоенкодеров на Python / Хабр

Детектирование аномалий — интересная задача машинного обучения. Не существует какого-то определенного способа ее решения, так как каждый набор данных имеет свои особенности. Но в то же время есть...

YOLO-NAS Pose: прорыв в технологии оценки позы / Хабр

YOLO-NAS Pose Модели YOLO-NAS Pose  это последний вклад в область оценки позы. Ранее в этом году Deci получила широкое признание за свою новаторскую базовую модель обнаружения объектов...

GASP: Gated Attention For Saliency Prediction | Papers With Code

Official Implementation of "GASP: Gated Attention for Saliency Prediction" Keywords: Social cue integration; Video saliency prediction; Gated attention; Saliency map; Dynamic salience; Attentive convolutional LSTM; Pytorch

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation | Papers With Code

1 code implementation in PyTorch. Model Stealing (MS) attacks allow an adversary with black-box access to a Machine Learning model to replicate its functionality, compromising the confidentiality of the model. Such attacks train a clone model by using the predictions of the target model for different inputs. The effectiveness of such attacks relies heavily on the availability of data necessary to query the target model. Existing attacks either assume partial access to the dataset of the target model or ava

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays | Papers With Code

1 code implementation in PyTorch. During the COVID-19 pandemic, there has been an emerging need for rapid, dedicated, and point-of-care COVID-19 patient disposition techniques to optimize resource utilization and clinical workflow. In view of this need, we present COVID-MobileXpert: a lightweight deep neural network (DNN) based mobile app that can use chest X-ray (CXR) for COVID-19 case screening and radiological trajectory prediction. We design and implement a novel three-player knowledge transfer and dis

Curious Hierarchical Actor-Critic Reinforcement Learning | Papers With Code

1 code implementation in PyTorch. Hierarchical abstraction and curiosity-driven exploration are two common paradigms in current reinforcement learning approaches to break down difficult problems into a sequence of simpler ones and to overcome reward sparsity. However, there is a lack of approaches that combine these paradigms, and it is currently unknown whether curiosity also helps to perform the hierarchical abstraction. As a novelty and scientific contribution, we tackle this issue and develop a method

Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach | Papers With Code

3 code implementations in TensorFlow and PyTorch. Existing aspect based sentiment analysis (ABSA) approaches leverage various neural network models to extract the aspect sentiments via learning aspect-specific feature representations. However, these approaches heavily rely on manual tagging of user reviews according to the predefined aspects as the input, a laborious and time-consuming process. Moreover, the underlying methods do not explain how and why the opposing aspect level polarities in a user review

KDnuggets News, November 8: 5 Simple Steps to Master Python, SQL, Scikit-learn, PyTorch & Google Cloud • SQL for Data Visualization - KDnuggets

This week on KDnuggets: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform • Unlock the Power of SQL in Data Visualization • And much, much more!

Lightning AI Introduces Lightning AI Studios; its Enterprise-Grade Platform for Rapid-prototyping, and Deploying AI Products - insideBIGDATA

Lightning AI, the company behind PyTorch Lightning, with over 91 million downloads, announced the introduction of Lightning AI Studios, the culmination of 3 years of research into the next generation development paradigm for the age of AI.

Lightning AI debuts 'iPhone approach' to new AI dev platform | VentureBeat

Lightning AI, the company behind PyTorch Lightning, launched a new cloud-based desktop platform to build and deploy AI products at scale. 

How to Install PyTorch in Anaconda

To install PyTorch in Anaconda, open the Anaconda Prompt> create and activate the conda environment for PyTorch> use “conda install” command for installation.

How to Find Element-wise Entropy of a Tensor in PyTorch?

To find element-wise entropy of a tensor in PyTorch, create a tensor. Then, use the “torch.special.entr()” method and display the computed entropy.

How to Save and Load Tensors in PyTorch?

To save a tensor in a specific file in PyTorch, use the “torch.save()” method and use the “torch.load()” method to load the saved tensor.

How to Adjust the Hue of an Image in PyTorch?

To adjust the hue of an image in PyTorch, use the “adjust_hue()” method and provide the input image and hue factor as an argument.

How to Adjust the Sharpness of an Image in PyTorch?

To adjust the sharpness of an image in PyTorch, use the “adjust_sharpness ()” method and provide the input image and sharpness factor as an argument.

How to Convert an Image to Grayscale in PyTorch?

To convert any image to grayscale in PyTorch, first, import libraries. Then, upload the image and read it. Next, use the “Grayscale()” transformation method.

How to Adjust the Saturation of an Image in PyTorch?

To adjust the saturation of an image in PyTorch, use the “adjust_saturation()” method and provide the input image and saturation factor as an argument.

How to Adjust the Brightness of an Image in PyTorch?

To adjust the brightness of an image in PyTorch, use the “adjust_brightness()” method and provide the input image and brightness factor as an argument.

How to Adjust the Contrast of an Image in PyTorch?

To adjust the contrast of an image in PyTorch, use the “adjust_contrast()” method and provide the input image and contrast factor as an argument.

How to Print Number of Model Parameters in PyTorch

The “nn.Module” class has the “parameters()” method that is used to view the number of model parameters in the PyTorch model.

How to Customize Text Generation in Transformers

To customize text generation in Transformers, the pipeline function, transformer-based model in “PyTorch” and “TensorFlow” are used.

Getting Started with PyTorch in 5 Steps - KDnuggets

This tutorial provides an in-depth introduction to machine learning using PyTorch and its high-level wrapper, PyTorch Lightning. The article covers essential steps from installation to advanced topics, offering a hands-on approach to building and training neural networks, and emphasizing the benefits of using Lightning.

Performing matrix multiplication with TensorFlow in Python

Learn how to perform matrix multiplication between two tensors using TensorFlow in Python. Example code and explanation provided.

Python TensorFlow element-wise addition

Learn how to perform element-wise addition on two TensorFlow tensors of shape (2, 3) filled with random values using Python.