#tensorboard — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tensorboard, aggregated by home.social.
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TensorBoard is the best visualization for training model. It can working offline. Most clusters aren't have online access.
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Конвейер машинного обучения для классификации рукописных цифр MNIST с использованием TensorFlow Extended (TFX)
В рамках данной статьи будет рассмотрено построение конвейера машинного обучения для классификации рукописных цифр из базы данных MNIST с использованием фреймворка TensorFlow и TFX, а также мониторинг процесса обучения с помощью TensorBoard и выпуск модели с автоматической генерацией к ней API с помощью TensorFlow Model Server. Основная цель данной статьи заключается в восполнении информационного пробела по теме использования TFX в контексте решения задачи классификации рукописных цифр MNIST, которая уже была представлена TensorFlow в виде одноименного репозитория tfx/tfx/examples/mnist .
https://habr.com/ru/articles/898140/
#python #tensorflow #machine_learning #конвейеры #tfx #tensorflowmodelserver #tensorboard
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Конвейер машинного обучения для классификации рукописных цифр MNIST с использованием TensorFlow Extended (TFX)
В рамках данной статьи будет рассмотрено построение конвейера машинного обучения для классификации рукописных цифр из базы данных MNIST с использованием фреймворка TensorFlow и TFX, а также мониторинг процесса обучения с помощью TensorBoard и выпуск модели с автоматической генерацией к ней API с помощью TensorFlow Model Server. Основная цель данной статьи заключается в восполнении информационного пробела по теме использования TFX в контексте решения задачи классификации рукописных цифр MNIST, которая уже была представлена TensorFlow в виде одноименного репозитория tfx/tfx/examples/mnist .
https://habr.com/ru/articles/898140/
#python #tensorflow #machine_learning #конвейеры #tfx #tensorflowmodelserver #tensorboard
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Конвейер машинного обучения для классификации рукописных цифр MNIST с использованием TensorFlow Extended (TFX)
В рамках данной статьи будет рассмотрено построение конвейера машинного обучения для классификации рукописных цифр из базы данных MNIST с использованием фреймворка TensorFlow и TFX, а также мониторинг процесса обучения с помощью TensorBoard и выпуск модели с автоматической генерацией к ней API с помощью TensorFlow Model Server. Основная цель данной статьи заключается в восполнении информационного пробела по теме использования TFX в контексте решения задачи классификации рукописных цифр MNIST, которая уже была представлена TensorFlow в виде одноименного репозитория tfx/tfx/examples/mnist .
https://habr.com/ru/articles/898140/
#python #tensorflow #machine_learning #конвейеры #tfx #tensorflowmodelserver #tensorboard
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Once you dig deep enough, there's something really addictive/exciting about seeing the loss curve dipping lower than the last time.
Give me your tasty predictions, machine!
#ml #tensorboard -
Once you dig deep enough, there's something really addictive/exciting about seeing the loss curve dipping lower than the last time.
Give me your tasty predictions, machine!
#ml #tensorboard -
Once you dig deep enough, there's something really addictive/exciting about seeing the loss curve dipping lower than the last time.
Give me your tasty predictions, machine!
#ml #tensorboard -
On my blog: Training Models locally via Containers
#Tensorboard #FineTuning #LLM #AI
https://heidloff.net/article/training-models-locally-containers-tensorboard/
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On my blog: Training Models locally via Containers
#Tensorboard #FineTuning #LLM #AI
https://heidloff.net/article/training-models-locally-containers-tensorboard/
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I was surprised to learn that you cannot do ROC curves on #tensorboard directly... but after banging my head against the keyboard, I've found that you can send #matplotlib grahps to it.
(And also torchmetrics gives you nice matplotlib graphs for your metrics.)
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I was surprised to learn that you cannot do ROC curves on #tensorboard directly... but after banging my head against the keyboard, I've found that you can send #matplotlib grahps to it.
(And also torchmetrics gives you nice matplotlib graphs for your metrics.)
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I was surprised to learn that you cannot do ROC curves on #tensorboard directly... but after banging my head against the keyboard, I've found that you can send #matplotlib grahps to it.
(And also torchmetrics gives you nice matplotlib graphs for your metrics.)
-
I was surprised to learn that you cannot do ROC curves on #tensorboard directly... but after banging my head against the keyboard, I've found that you can send #matplotlib grahps to it.
(And also torchmetrics gives you nice matplotlib graphs for your metrics.)
-
I was surprised to learn that you cannot do ROC curves on #tensorboard directly... but after banging my head against the keyboard, I've found that you can send #matplotlib grahps to it.
(And also torchmetrics gives you nice matplotlib graphs for your metrics.)
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New optimization run in progress!
Will the new run, with more hidden neurons, more stupid bugs, be able to over-take the old one?
Find out tomorrow, I guess. Or wait, let's just check once more... #tensorboard addiction.
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New optimization run in progress!
Will the new run, with more hidden neurons, more stupid bugs, be able to over-take the old one?
Find out tomorrow, I guess. Or wait, let's just check once more... #tensorboard addiction.
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New optimization run in progress!
Will the new run, with more hidden neurons, more stupid bugs, be able to over-take the old one?
Find out tomorrow, I guess. Or wait, let's just check once more... #tensorboard addiction.
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Hello, world!
I'm currently working on #tools for #ML engineers at #Meta [#mlops, #pytorch, #tensorboard, #debugging], tend to write for developers at explog.in [#devtools, #python] and spend way too much time configuring #emacs. Past lives have involved #android, #maps and #reliability.
[wow, edits; so many hashtags] #introduction
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Hello, world!
I'm currently working on #tools for #ML engineers at #Meta [#mlops, #pytorch, #tensorboard, #debugging], tend to write for developers at explog.in [#devtools, #python] and spend way too much time configuring #emacs. Past lives have involved #android, #maps and #reliability.
[wow, edits; so many hashtags] #introduction
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Hello, world!
I'm currently working on #tools for #ML engineers at #Meta [#mlops, #pytorch, #tensorboard, #debugging], tend to write for developers at explog.in [#devtools, #python] and spend way too much time configuring #emacs. Past lives have involved #android, #maps and #reliability.
[wow, edits; so many hashtags] #introduction
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Hello, world!
I'm currently working on #tools for #ML engineers at #Meta [#mlops, #pytorch, #tensorboard, #debugging], tend to write for developers at explog.in [#devtools, #python] and spend way too much time configuring #emacs. Past lives have involved #android, #maps and #reliability.
[wow, edits; so many hashtags] #introduction
-
Hello, world!
I'm currently working on #tools for #ML engineers at #Meta [#mlops, #pytorch, #tensorboard, #debugging], tend to write for developers at explog.in [#devtools, #python] and spend way too much time configuring #emacs. Past lives have involved #android, #maps and #reliability.
[wow, edits; so many hashtags] #introduction