# ImageNet

ImageNet is an image dataset organized according to the WordNet hierarchy, providing image data for training large-scale object-recognition models.

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## KotlinDL 0.2: Functional API, зоопарк моделей c ResNet и MobileNet, DSL для обработки изображений

DevFeed: [KotlinDL 0.2: Functional API, зоопарк моделей c ResNet и MobileNet, DSL для обработки изображений](<https://devfeed.tech/articles/kotlindl-0-2-functional-api-c-resnet-mobilenet-dsl-23913.md>)

Original publisher: [Read original article](<https://habr.com/ru/companies/JetBrains/articles/558618/>)

Author: zaleslaw (JetBrains)

Published: 2021-05-25T08:54:42Z

Content type: release

Language: ru

Sources: [JetBrains RU](<https://devfeed.tech/sources/jetbrains-ru.md>)

Topics: [Kotlin](<https://devfeed.tech/topics/kotlin.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [Maven Central](<https://devfeed.tech/topics/maven-central.md>), [Tensorflow](<https://devfeed.tech/topics/tensorflow.md>), [Keras](<https://devfeed.tech/topics/keras.md>), [ImageNet](<https://devfeed.tech/topics/imagenet.md>)

Tags: [dataset](<https://devfeed.tech/tags/dataset.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [image-processing](<https://devfeed.tech/tags/image-processing.md>), [keras](<https://devfeed.tech/tags/keras.md>), [kotlin](<https://devfeed.tech/tags/kotlin.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [maven-central](<https://devfeed.tech/tags/maven-central.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [tag-00486ebd8d87](<https://devfeed.tech/tags/tag-00486ebd8d87.md>), [tag-9d8cf70dc46c](<https://devfeed.tech/tags/tag-9d8cf70dc46c.md>), [tensorflow](<https://devfeed.tech/tags/tensorflow.md>)

### AI overview

This article presents KotlinDL 0.2, a deep-learning library written in Kotlin with TensorFlow used for low-level computations. The release adds a Functional API for graph-based neural networks, an image-preprocessing DSL, new dataset types, and a model zoo containing ResNet, MobileNet, and VGG models. KotlinDL 0.2 is available on Maven Central.

### Source excerpt

Представляем вам версию 0.2 библиотеки KotlinDL. Это библиотека глубокого обучения, где для низкоуровневых вычислений используется TensorFlow, но с высокоуровневым API и логикой, написанными на Kotlin. KotlinDL 0.2 теперь доступен на Maven Central (до этого он лежал на bintray, но закатилось солнышко земли опенсорсной). Появилось столько всего нового: новые слои, специальный DSL для препроцессинга изображений, новые типы датасетов, зоопарк моделей с несколькими моделями из семейства ResNet, MobileNet и старой доброй моделью VGG (рабочая лошадка, впрочем). В этой статье мы коснемся самых главных изменений релиза 0.2. Полный список изменений доступен по ссылке. Читать далее

## Using a Neural Network for sending memes to my girlfriend

DevFeed: [Using a Neural Network for sending memes to my girlfriend](<https://devfeed.tech/articles/using-a-neural-network-for-sending-memes-to-my-girlfriend-40826.md>)

Original publisher: [Read original article](<https://mutto.fyi/posts/2021/05/nn-sending-memes/>)

Published: 2021-05-20T00:00:00Z

Content type: tutorial

Language: en

Sources: [Mutt0-ds Notes](<https://devfeed.tech/sources/mutt0-ds-notes.md>)

Topics: [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [image recognition](<https://devfeed.tech/topics/image-recognition.md>), [ImageNet](<https://devfeed.tech/topics/imagenet.md>), [Reddit](<https://devfeed.tech/topics/reddit.md>), [API](<https://devfeed.tech/topics/api.md>), [Library](<https://devfeed.tech/topics/library.md>), [email](<https://devfeed.tech/topics/email.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [cats](<https://devfeed.tech/tags/cats.md>), [email](<https://devfeed.tech/tags/email.md>), [image-recognition](<https://devfeed.tech/tags/image-recognition.md>), [images](<https://devfeed.tech/tags/images.md>), [library](<https://devfeed.tech/tags/library.md>), [model](<https://devfeed.tech/tags/model.md>), [neural](<https://devfeed.tech/tags/neural.md>), [neural-network](<https://devfeed.tech/tags/neural-network.md>), [password](<https://devfeed.tech/tags/password.md>), [reddit](<https://devfeed.tech/tags/reddit.md>)

### AI overview

This tutorial describes a project that uses Reddit's API and the praw library to download wholesome memes, applies a ResNet50 image-recognition model to identify animal content, and emails selected memes to a recipient.

### Source excerpt

Well, my GF's tastes in memes are simple: she loves wholesome memes and, most importantly, she loves animals. That's why I created a fun...

## Of Pythons and Camels

DevFeed: [Of Pythons and Camels](<https://devfeed.tech/articles/of-pythons-and-camels-20197.md>)

Original publisher: [Read original article](<https://blog.janestreet.com/of-pythons-and-camels/>)

Author: Loren Puchalla Fiore

Published: 2019-07-09T00:00:00Z

Content type: tutorial

Language: en

Sources: [Jane Street](<https://devfeed.tech/sources/jane-street.md>)

Topics: [OCaml](<https://devfeed.tech/topics/ocaml.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [ImageNet](<https://devfeed.tech/topics/imagenet.md>)

Tags: [cpu](<https://devfeed.tech/tags/cpu.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [images](<https://devfeed.tech/tags/images.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [ocaml](<https://devfeed.tech/tags/ocaml.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [training](<https://devfeed.tech/tags/training.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

This tutorial demonstrates transfer learning for image classification in OCaml, following the PyTorch Transfer Learning Tutorial. It uses a pretrained convolutional neural network and the Open Images Dataset V5 to classify images of pythons and camels, comparing fine-tuning with using the pretrained model as a feature extractor.

### Source excerpt

Welcome to another post in our series of how to use OCaml for machine learning. In previous posts we've discussed artistic style-transfer and reinforcement learning. If you haven't read these feel free to do so now, we'll wait right here until you're done. Ready? Ok, let's continue ...