Categories: AI/ML Research

Using Dropout Regularization in PyTorch Models

Dropout is a simple and powerful regularization technique for neural networks and deep learning models. In this post, you will discover the Dropout regularization technique and how to apply it to your models in PyTorch models. After reading this post, you will know: How the Dropout regularization technique works How to use Dropout on your […]

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Fine-tuning Gemma, the journey from beginning to end

Chatbots are one of the more common, early use cases for generative AI, particularly in retail organizations. To make them useful for shoppers, a chatbot needs to be contextually sensitive to a retailer's product catalog, with the ability to respond to customer inquiries conversationally, perhaps suggesting alternatives and complementary outfits.…

October 15, 2024

In "FAANG"

In search of a generalizable method for source-free domain adaptation

July 27, 2023

In "FAANG"

Transfer learning for TensorFlow text classification models in Amazon SageMaker

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of…

November 6, 2022

In "FAANG"

AI Generated Robotic Content