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PyTorch vs TensorFlow: Which is Better for Deep Learning?

Analytics Vidhya

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones.

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Hewlett Packard Enterprise Debuts End-to-End AI-Native Portfolio for Generative AI

insideBIGDATA

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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Exploring the intricacies of deep learning models

Dataconomy

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and make decisions based on that learning. In this article, we will explore the importance of deep learning models and their applications in various fields.

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Deep Learning 101: Building diligent systems that understand us

Dataconomy

Deep learning (DL) is the discipline of artificial intelligence (AI) that focuses on intelligent machines’ learning and comprehension ability. Deep learning models are designed inspired by the structure and working principle of the human brain.

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Deep Learning Interviews (2021)

Hacker News

The second edition of Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam specific topics and provide machine learning MSc / PhD. students, and those awaiting an interview a well-organized overview of the field.

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Emerging Trends in AI and ML in 2023 & Beyond

Analytics Vidhya

While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.

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On-Device Deep Learning: PyTorch Mobile and TensorFlow Lite

KDnuggets

PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.