DataStema

Train ML models faster with Google Cloud TPUs using TensorFlow, Keras, and custom loops—step-by-step from setup to performance tuning.

Boost TensorFlow Training Speed by 50% with These TPU Tricks

Speed up your TensorFlow training by optimizing input pipelines with tf.data. Learn how prefetching, caching, and vectorization make a difference.

You’re Wasting GPU Power—Fix Your TensorFlow Input Pipeline Today

Identify and fix slow tf.data pipelines using TensorFlow Profiler. Analyze, prefetch, and optimize your input pipeline with step-by-step guidance.

How to Speed Up Your TensorFlow tf.data Pipeline

Learn how to use Ragged Tensors in TensorFlow to handle variable-length data in machine learning workflows with real-world code examples.

For Data of All Shapes and Sizes, Ragged Tensors Offer a Home

How to integrate ALLURE Reports to test projects made on the CITRUS Framework.

Let's Connect Allure Reports to a Test Project Made on Citrus Framework

Learn how to fine tune a RoBERTa topic classification model in python with the hugging face transformers and libraries. 

Fine-Tuning RoBERTa for Topic Classification

A guide to using the open-source tool FiftyOne to download the Kinetics dataset and evaluate video understanding models

Kinetics Dataset - Training and Evaluating Models for Video Classification 

How to fine-tune a Hugging Face Transformer model for Sequence Classification

How to Fine Tune a 🤗 (Hugging Face) Transformer Model

Yes, building AI is hard! Every step from data annotation, training and deployment comes with its own set of challenges. This blog post will try to deal with the first two of those:

Multi-GPU training with Brain Builder and TensorFlow

I was rewriting codebase of our <a href="https://letsenhance.io" target="_blank">neural network image upscaling service</a> — Let’s Enhance to make it ready for bigger and faster models and API we are working on. As we work with image generation (superresolution, deblurring, etc) we do rely on a typical image processing libraries like OpenCV and PIL. I always had suspicions that it makes sense to use Tensorflow image processing capabilities — in theory, they should be faster. So, I decided to stick to native Tensorflow image preprosessing and dataset building tools using dataset.map() to keep all operations in tensors all around my code.

DATASTEMA

datastema.io

Since n.d.

DATASTEMA

EVERGREEN INDEX #3632

DataStema's stories on HackerNoon

Boost TensorFlow Training Speed by 50% with These TPU Tricks

You’re Wasting GPU Power—Fix Your TensorFlow Input Pipeline Today

How to Speed Up Your TensorFlow tf.data Pipeline

For Data of All Shapes and Sizes, Ragged Tensors Offer a Home

Let's Connect Allure Reports to a Test Project Made on Citrus Framework

Fine-Tuning RoBERTa for Topic Classification

Kinetics Dataset - Training and Evaluating Models for Video Classification

How to Fine Tune a 🤗 (Hugging Face) Transformer Model

Multi-GPU training with Brain Builder and TensorFlow

How Tensorflow’s tf.image.resize stole 60 days of my life

DataStema's Related Companies

Representing this company? Click here to claim and customize this page!

Reviews About DataStema

DataStema WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps

DATASTEMA

datastema.io

Since n.d.

DATASTEMA

EVERGREEN INDEX #3632

DataStema's stories on HackerNoon

Boost TensorFlow Training Speed by 50% with These TPU Tricks

You’re Wasting GPU Power—Fix Your TensorFlow Input Pipeline Today

How to Speed Up Your TensorFlow tf.data Pipeline

For Data of All Shapes and Sizes, Ragged Tensors Offer a Home

Let's Connect Allure Reports to a Test Project Made on Citrus Framework

Fine-Tuning RoBERTa for Topic Classification

Kinetics Dataset - Training and Evaluating Models for Video Classification

How to Fine Tune a 🤗 (Hugging Face) Transformer Model

Multi-GPU training with Brain Builder and TensorFlow

How Tensorflow’s tf.image.resize stole 60 days of my life

DataStema's Related Companies

1985

160B

1989

150.2B

1833

100.9B

1984

68B

1995

55.9B

1905

52.7B

Representing this company? Click here to claim and customize this page!

Reviews About DataStema

DataStema WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps