Optimization - Paperspace by DigitalOcean Blog (Page 4)

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Now available: Run JAX on Gradient Notebooks

Follow this guide to learn about the JAX library, and learn how to directly implement it in Gradient.

By James Skelton

• 3 years ago

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Developing a Tic Tac Toe Gaming Agent with Genetic Algorithms: Optimizing Neural Nets with Genetic Algorithm with JavaScript (Part 2)

Part 2 of learning to create a tic tac toe gaming agent using JavaScript and Paperspace Core

By Achu Somtochukwu

• 3 years ago

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Evaluation Metrics for Machine Learning Models

Featuring Clustering and Ranking!

By Samhita Alla

• 3 years ago

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GPU

How powerful are the FREE GPUs on Gradient?

Follow this guide to learn how the different GPU instances perform on Gradient compared to one another, and then learn how to run the benchmarks yourself!

By James Skelton

• 3 years ago

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Optimization

Improving Model Accuracy with Transfer Learning, Data Augmentation, LR Finder, and Much More

Learn how to improve your models with transfer learning, data augmentation, LR Finder, and much more using this hands on guide with image classification.

By Nanda Kishor M Pai

• 3 years ago

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Now available: Run JAX on Gradient Notebooks

Developing a Tic Tac Toe Gaming Agent with Genetic Algorithms: Optimizing Neural Nets with Genetic Algorithm with JavaScript (Part 2)

Evaluation Metrics for Machine Learning Models

Evaluation Metrics for Machine Learning Models: Part 1

How powerful are the FREE GPUs on Gradient?

Improving Model Accuracy with Transfer Learning, Data Augmentation, LR Finder, and Much More

How to Use Maximum Likelihood Estimation for Parametric Classification Methods

How To Speed Up Object Detection Using NumPy Reshape and Transpose

Gradient Descent and Optimization In Deep Learning

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Now available: Run JAX on Gradient Notebooks

Developing a Tic Tac Toe Gaming Agent with Genetic Algorithms: Optimizing Neural Nets with Genetic Algorithm with JavaScript (Part 2)

Evaluation Metrics for Machine Learning Models

Evaluation Metrics for Machine Learning Models: Part 1

How powerful are the FREE GPUs on Gradient?

Improving Model Accuracy with Transfer Learning, Data Augmentation, LR Finder, and Much More

How to Use Maximum Likelihood Estimation for Parametric Classification Methods

How To Speed Up Object Detection Using NumPy Reshape and Transpose

Gradient Descent and Optimization In Deep Learning

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