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Deploying a Keras Flower Classification Model

Analytics Vidhya

Background on Flower Classification Model Deep learning models, especially CNN (Convolutional Neural Networks), are implemented to classify different objects with the help of labeled images. The models are trained with these images to great accuracy, tested, and then deployed for performance.

Modeling 268
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LLMs Exposed: Are They Just Cheating on Math Tests?

Analytics Vidhya

Introduction Large Language Models (LLMs) are advanced natural language processing models that have achieved remarkable success in various benchmarks for mathematical reasoning. LLMs are typically trained on large datasets scraped from […] The post LLMs Exposed: Are They Just Cheating on Math Tests?

Testing 306
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Training and Testing Neural Networks on PyTorch using Ignite

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction With ignite, you can write loops to train the network in just a few lines, add standard metrics calculation out of the box, save the model, etc. The post Training and Testing Neural Networks on PyTorch using Ignite appeared first on Analytics Vidhya.

Testing 356
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Test your Data Science Skills on Transformers library

Analytics Vidhya

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya.

Testing 303
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How to Evaluate ASR Solution Brief

There is a fundamental difference between 1st generation, 2nd generation, and modern-day Automatic Speech Recognition (ASR) solutions that use 100% deep learning technology. In this solution brief, you will learn: The differences between 1st generation, 2nd generation, and modern-day ASR solutions. How to test AI ASR solutions.

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What are model governance and model operations?

O'Reilly on Data

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Model development. Model governance. Source: Ben Lorica.

Modeling 195
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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model.