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Transforming Healthcare: Project-based Deep Learning-Powered Survival Prediction

Analytics Vidhya

Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

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Top 10 blogs on NLP in Analytics Vidhya 2022

Analytics Vidhya

It involves developing algorithms and models to analyze, understand, and generate human language, enabling computers to perform sentiment analysis, language translation, text summarization, and tasks. The post Top 10 blogs on NLP in Analytics Vidhya 2022 appeared first on Analytics Vidhya.

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What is Adam Optimizer and How to Tune its Parameters in PyTorch

Analytics Vidhya

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and its gentle computational requirements make it a versatile and efficient choice.

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PyTorch on Databricks - Introducing the Spark PyTorch Distributor

databricks

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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Top 10 Deep Learning Projects for Beginners

Pickl AI

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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Python libraries for generative AI 

Data Science Dojo

Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research. It is developed by Google AI and has been used to achieve state-of-the-art results in a variety of machine learning tasks, including generative AI.

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FPGA vs. GPU: Which is better for deep learning?

IBM Journey to AI blog

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.