#آموزش #مقدماتی #keras
How to use Keras fit and fit_generator (a hands-on tutorial)
The Keras deep learning library includes three separate functions that can be used to train your own models:
.fit
.fit_generator
.train_on_batch
https://www.pyimagesearch.com/2018/12/24/how-to-use-keras-fit-and-fit_generator-a-hands-on-tutorial/
How to use Keras fit and fit_generator (a hands-on tutorial)
The Keras deep learning library includes three separate functions that can be used to train your own models:
.fit
.fit_generator
.train_on_batch
https://www.pyimagesearch.com/2018/12/24/how-to-use-keras-fit-and-fit_generator-a-hands-on-tutorial/
PyImageSearch
How to use Keras fit and fit_generator (a hands-on tutorial) - PyImageSearch
In this tutorial you will learn how the Keras .fit and .fit_generator functions work, including the differences between them. I'll then show you how to implement your own custom Keras generator function.
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#تلفظ نام andrew-ng از زبان خودشون!
"TRFL (pronounced "truffle"): a library of reinforcement learning building blocks"
By the Research Engineering team at DeepMind: https://lnkd.in/eumHdxQ
#artificialintelligence #deeplearning #reinforcementlearning
🙏Thanks to: @vahidreza01
By the Research Engineering team at DeepMind: https://lnkd.in/eumHdxQ
#artificialintelligence #deeplearning #reinforcementlearning
🙏Thanks to: @vahidreza01
GitHub
deepmind/trfl
TensorFlow Reinforcement Learning. Contribute to deepmind/trfl development by creating an account on GitHub.
Key Papers in Deep RL
https://spinningup.openai.com/en/latest/spinningup/keypapers.html
#artificialintelligence #deeplearning #reinforcementlearning
🙏Thanks to: @vahidreza01
https://spinningup.openai.com/en/latest/spinningup/keypapers.html
#artificialintelligence #deeplearning #reinforcementlearning
🙏Thanks to: @vahidreza01
#مقاله #آموزش
Review: DSSD — Deconvolutional Single Shot Detector (Object Detection)
DSSD, with deconvolutional path, improves the previous SSD
blog post:
https://towardsdatascience.com/review-dssd-deconvolutional-single-shot-detector-object-detection-d4821a2bbeb5
paper(Submitted on 23 Jan 2017):
https://arxiv.org/abs/1701.06659
Review: DSSD — Deconvolutional Single Shot Detector (Object Detection)
DSSD, with deconvolutional path, improves the previous SSD
blog post:
https://towardsdatascience.com/review-dssd-deconvolutional-single-shot-detector-object-detection-d4821a2bbeb5
paper(Submitted on 23 Jan 2017):
https://arxiv.org/abs/1701.06659
Medium
Review: DSSD — Deconvolutional Single Shot Detector (Object Detection)
Deconvolution Layers: Introduce additional large-scale context, improve accuracy for small objects
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#ویدئو
محققان NVIDIA با ایجاد فریم های میانی با deep learning ویدیوی عادی را به یک ویدیوی اسلو موشن با نرخ 240-fps تبدیل میکنند.
Research at #NVIDIA: Transforming Standard Video Into Slow Motion with AI
مقاله:
https://news.1rj.ru/str/cvision/862
محققان NVIDIA با ایجاد فریم های میانی با deep learning ویدیوی عادی را به یک ویدیوی اسلو موشن با نرخ 240-fps تبدیل میکنند.
Research at #NVIDIA: Transforming Standard Video Into Slow Motion with AI
مقاله:
https://news.1rj.ru/str/cvision/862
#مقاله
#CVPR2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Video: https://news.1rj.ru/str/cvision/861
🔗abstract:
https://arxiv.org/abs/1612.01175
🔗Paper:
https://arxiv.org/pdf/1712.00080.pdf
🔗Project Page (code + data):
https://people.cs.umass.edu/~hzjiang/projects/superslomo/
🔗code (#PyTorch):
https://github.com/avinashpaliwal/Super-SloMo
🙏Thanks to: @vahidreza01
#CVPR2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Video: https://news.1rj.ru/str/cvision/861
🔗abstract:
https://arxiv.org/abs/1612.01175
🔗Paper:
https://arxiv.org/pdf/1712.00080.pdf
🔗Project Page (code + data):
https://people.cs.umass.edu/~hzjiang/projects/superslomo/
🔗code (#PyTorch):
https://github.com/avinashpaliwal/Super-SloMo
🙏Thanks to: @vahidreza01
Telegram
Tensorflow
#ویدئو
محققان NVIDIA با ایجاد فریم های میانی با deep learning ویدیوی عادی را به یک ویدیوی اسلو موشن با نرخ 240-fps تبدیل میکنند.
Research at #NVIDIA: Transforming Standard Video Into Slow Motion with AI
مقاله:
https://news.1rj.ru/str/cvision/862
محققان NVIDIA با ایجاد فریم های میانی با deep learning ویدیوی عادی را به یک ویدیوی اسلو موشن با نرخ 240-fps تبدیل میکنند.
Research at #NVIDIA: Transforming Standard Video Into Slow Motion with AI
مقاله:
https://news.1rj.ru/str/cvision/862
#آموزش #سورس_کد
Image-to-Image Translation
کد قابل اجرای pix2pix در گوگل کولب + ویدیوی توضیحات فارسی
کد:
https://colab.research.google.com/github/alireza-akhavan/class.vision/blob/master/57-gan-pix2pix_tensorflow_eager.ipynb
دموی آنلاین pix2pix:
https://affinelayer.com/pixsrv/
ویدیوی آموزشی فارسی:
مقدمات GAN:
https://www.aparat.com/v/FjRVt
روش pix2pix + پیاده سازی (و روش cycleGAN):
https://www.aparat.com/v/S9bcT
#tensorflow #keras #GAN
#cycleGAN #pix2pix
Image-to-Image Translation
کد قابل اجرای pix2pix در گوگل کولب + ویدیوی توضیحات فارسی
کد:
https://colab.research.google.com/github/alireza-akhavan/class.vision/blob/master/57-gan-pix2pix_tensorflow_eager.ipynb
دموی آنلاین pix2pix:
https://affinelayer.com/pixsrv/
ویدیوی آموزشی فارسی:
مقدمات GAN:
https://www.aparat.com/v/FjRVt
روش pix2pix + پیاده سازی (و روش cycleGAN):
https://www.aparat.com/v/S9bcT
#tensorflow #keras #GAN
#cycleGAN #pix2pix
آموزش پیکربندی و راه اندازی یک سیستم قدرتمند مقرون به صرفه مناسب برای پروژه های یادگیری عمیق و بازی های گرافیکی
ثبت نام برای عموم آزاد است
#دی1397
ثبت نام برای عموم آزاد است
#دی1397
#آموزش #معماری
توضیح معماری ResNeXt، نفر اول چالش ایمیج نت سال 2016
Review: ResNeXt — 1st Runner Up in ILSVRC 2016 (Image Classification)
این مدل top 5 error ی برابر با 3.03 داشته، در مقایسه با resnet برنده چالش سال 2015 که 3.57 بوده
https://towardsdatascience.com/review-resnext-1st-runner-up-of-ilsvrc-2016-image-classification-15d7f17b42ac
#resnext
توضیح معماری ResNeXt، نفر اول چالش ایمیج نت سال 2016
Review: ResNeXt — 1st Runner Up in ILSVRC 2016 (Image Classification)
این مدل top 5 error ی برابر با 3.03 داشته، در مقایسه با resnet برنده چالش سال 2015 که 3.57 بوده
https://towardsdatascience.com/review-resnext-1st-runner-up-of-ilsvrc-2016-image-classification-15d7f17b42ac
#resnext
Medium
Review: ResNeXt — 1st Runner Up in ILSVRC 2016 (Image Classification)
Network-in-Neuron, A New Dimensionality: Cardinality
#آموزش
Data Augmentation for Object detection: Rethinking image transforms for bounding boxes
https://medium.com/paperspace/data-augmentation-for-object-detection-rethinking-image-transforms-for-bounding-boxes-fe229905a1c3
#Data_Augmentation #object_detection
Data Augmentation for Object detection: Rethinking image transforms for bounding boxes
https://medium.com/paperspace/data-augmentation-for-object-detection-rethinking-image-transforms-for-bounding-boxes-fe229905a1c3
#Data_Augmentation #object_detection
Medium
Data Augmentation for Object detection: Rethinking image transforms for bounding boxes
When it comes to getting good performances from deep learning tasks, the more data the merrier. However, we may only have limited data with…
#مقایسه #سرعت
CPU Performance Comparison of OpenCV and other Deep Learning frameworks
https://www.learnopencv.com/cpu-performance-comparison-of-opencv-and-other-deep-learning-frameworks/
CPU Performance Comparison of OpenCV and other Deep Learning frameworks
https://www.learnopencv.com/cpu-performance-comparison-of-opencv-and-other-deep-learning-frameworks/
#آموزش
An overview of semantic image segmentation
https://www.jeremyjordan.me/semantic-segmentation/
#segmentation
An overview of semantic image segmentation
https://www.jeremyjordan.me/semantic-segmentation/
#segmentation
Jeremy Jordan
An overview of semantic image segmentation.
In this post, I'll discuss how to use convolutional neural networks for the task of semantic image segmentation. Image segmentation is a computer vision task in which we label specific regions of an image according to what's being shown.
#سورس_کد
[pic: https://news.1rj.ru/str/cvision/870]
Image-to-Image Translation in #Tensorflow_js
Fast image-to-image translation in the #browser.
With 3 new trained models .
+ processed dataset of 1000 images for edges2cats translation.
Demo: https://zaidalyafeai.github.io/pix2pix/cats.html
Code(Tensorflow.js): https://github.com/zaidalyafeai/zaidalyafeai.github.io/tree/master/pix2pix
مرتبط با:
https://news.1rj.ru/str/cvision/863
https://news.1rj.ru/str/cvision/171
https://news.1rj.ru/str/cvision/170
#conditional #adversarial #GAN
#pix2pix
[pic: https://news.1rj.ru/str/cvision/870]
Image-to-Image Translation in #Tensorflow_js
Fast image-to-image translation in the #browser.
With 3 new trained models .
+ processed dataset of 1000 images for edges2cats translation.
Demo: https://zaidalyafeai.github.io/pix2pix/cats.html
Code(Tensorflow.js): https://github.com/zaidalyafeai/zaidalyafeai.github.io/tree/master/pix2pix
مرتبط با:
https://news.1rj.ru/str/cvision/863
https://news.1rj.ru/str/cvision/171
https://news.1rj.ru/str/cvision/170
#conditional #adversarial #GAN
#pix2pix
Telegram
Tensorflow
Fast image-to-image translation in the browser
Online demo:
https://zaidalyafeai.github.io/pix2pix/cats.html
More + code:
https://news.1rj.ru/str/cvision/869
Online demo:
https://zaidalyafeai.github.io/pix2pix/cats.html
More + code:
https://news.1rj.ru/str/cvision/869
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Fast image-to-image translation in the browser
Online demo:
https://zaidalyafeai.github.io/pix2pix/cats.html
More + code:
https://news.1rj.ru/str/cvision/869
Online demo:
https://zaidalyafeai.github.io/pix2pix/cats.html
More + code:
https://news.1rj.ru/str/cvision/869
Tensorflow(@CVision)
#آموزش #تنسرفلو #eager کابرد @tf.contrib.eager.defun https://medium.com/tensorflow/code-with-eager-execution-run-with-graphs-optimizing-your-code-with-revnet-as-an-example-6162333f9b08
#آموزش
پایتونی کد بزنید، اما گراف تنسرفلو داشته باشید!
AutoGraph converts Python into TensorFlow graphs
https://medium.com/tensorflow/autograph-converts-python-into-tensorflow-graphs-b2a871f87ec7
مرتبط با:
https://news.1rj.ru/str/cvision/848
#tensorflow #keras #autograph
پایتونی کد بزنید، اما گراف تنسرفلو داشته باشید!
AutoGraph converts Python into TensorFlow graphs
https://medium.com/tensorflow/autograph-converts-python-into-tensorflow-graphs-b2a871f87ec7
مرتبط با:
https://news.1rj.ru/str/cvision/848
#tensorflow #keras #autograph
Medium
AutoGraph converts Python into TensorFlow graphs
By Alex Wiltschko, Dan Moldovan, Wolff Dobson
#آموزش
همان قطعه کد با decoratorی که کدهای پایتون را معادل گراف تنسرفلو میکند.
مرتبط با:
https://news.1rj.ru/str/cvision/871
همان قطعه کد با decoratorی که کدهای پایتون را معادل گراف تنسرفلو میکند.
مرتبط با:
https://news.1rj.ru/str/cvision/871
#آموزش
یک کد در حالت eager execution که صرفا برای افزایش سرعت یک متد را در این decorator قرار داده است.
کد: لینک
مرتبط با:
https://news.1rj.ru/str/cvision/871
یک کد در حالت eager execution که صرفا برای افزایش سرعت یک متد را در این decorator قرار داده است.
کد: لینک
مرتبط با:
https://news.1rj.ru/str/cvision/871
#آموزش
Recognizing Speech Commands Using Recurrent Neural Networks with Attention
https://towardsdatascience.com/recognizing-speech-commands-using-recurrent-neural-networks-with-attention-c2b2ba17c837
سورس کد:
A Keras implementation of neural attention model for speech command recognition
https://github.com/douglas125/SpeechCmdRecognition
مرتبط با:
سورس و مقاله wav2letter++ یک روش end2end
https://news.1rj.ru/str/cvision/850
جلسه مربوط به Attention در RNNها:
https://www.aparat.com/v/SPZzH
جلسه مربوط به پردازش صوت در RNNها:
https://www.aparat.com/v/cEKal
#attention #rnn #lstm #keras #Speech
Recognizing Speech Commands Using Recurrent Neural Networks with Attention
https://towardsdatascience.com/recognizing-speech-commands-using-recurrent-neural-networks-with-attention-c2b2ba17c837
سورس کد:
A Keras implementation of neural attention model for speech command recognition
https://github.com/douglas125/SpeechCmdRecognition
مرتبط با:
سورس و مقاله wav2letter++ یک روش end2end
https://news.1rj.ru/str/cvision/850
جلسه مربوط به Attention در RNNها:
https://www.aparat.com/v/SPZzH
جلسه مربوط به پردازش صوت در RNNها:
https://www.aparat.com/v/cEKal
#attention #rnn #lstm #keras #Speech
Medium
Recognizing Speech Commands Using Recurrent Neural Networks with Attention
Speech recognition has become an integral part of human-computer interfaces (HCI). They are present in personal assistants like Google…