Machine Learning Free Course with TensorFlow APIs by Google
https://developers.google.com/machine-learning/crash-course/
https://developers.google.com/machine-learning/crash-course/
Google for Developers
Machine Learning | Google for Developers
A Gentle Introduction to Upsampling and Transpose Convolution Layers for GANs
Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images
Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images
TensorFlow in Practice Specialization
Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications
Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications
Coursera
DeepLearning.AI TensorFlow Developer
Offered by DeepLearning.AI. Learn to build AI apps with ... Enroll for free.
Innovations in Graph Representation Learning
http://ai.googleblog.com/2019/06/innovations-in-graph-representation.html
http://ai.googleblog.com/2019/06/innovations-in-graph-representation.html
blog.research.google
Innovations in Graph Representation Learning
Boosting Machine Learning Tutorial | Gradient Boosting, XGBoost
https://www.youtube.com/watch?v=kho6oANGu_A
https://www.youtube.com/watch?v=kho6oANGu_A
YouTube
Boosting Machine Learning Tutorial | Adaptive Boosting, Gradient Boosting, XGBoost | Edureka
** Machine Learning Certification Training using Python: https://www.edureka.co/python **
This Edureka session will help you understand all about Boosting Machine Learning and boosting algorithms and how they can be implemented to increase the efficiency…
This Edureka session will help you understand all about Boosting Machine Learning and boosting algorithms and how they can be implemented to increase the efficiency…
Data Augmentation Strategies for Object Detection
Article: https://arxiv.org/abs/1906.11172
GIthub: https://github.com/tensorflow/tpu/tree/master/models/official/detection
Article: https://arxiv.org/abs/1906.11172
GIthub: https://github.com/tensorflow/tpu/tree/master/models/official/detection
arXiv.org
Learning Data Augmentation Strategies for Object Detection
Data augmentation is a critical component of training deep learning models. Although data augmentation has been shown to significantly improve image classification, its potential has not been...
Predicting Bus Delays with Machine Learning
http://ai.googleblog.com/2019/06/predicting-bus-delays-with-machine.html
http://ai.googleblog.com/2019/06/predicting-bus-delays-with-machine.html
research.google
Predicting Bus Delays with Machine Learning
Posted by Alex Fabrikant, Research Scientist, Google Research Hundreds of millions of people across the world rely on public transit for their da...
Announcing the YouTube-8M Segments Dataset
http://ai.googleblog.com/2019/06/announcing-youtube-8m-segments-dataset.html
http://ai.googleblog.com/2019/06/announcing-youtube-8m-segments-dataset.html
blog.research.google
Announcing the YouTube-8M Segments Dataset
How to Develop a GAN for Generating Handwritten Digits
https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/
https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-an-mnist-handwritten-digits-from-scratch-in-keras/
FREE COURSE Intro to TensorFlow for Deep Learning
This course is a practical approach to deep learning for software developers
https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
This course is a practical approach to deep learning for software developers
https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
Udacity
TensorFlow for Deep Learning Training Course | Udacity
Learn online and advance your career with courses in programming, data science, artificial intelligence, digital marketing, and more. Gain in-demand technical skills. Join today!
How to Develop a GAN for Generating Small Color Photographs of Objects
https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-cifar-10-small-object-photographs-from-scratch/
https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-cifar-10-small-object-photographs-from-scratch/
МегаФон запускает «Фабрику микросервисов» - «завод» по разработке и внедрению новых технологических решений на базе микросервисной архитектуры.
Фабрика базируется в Нижнем Новгороде и будет работать по гибким методологиям Agile, по принципу кросс-функциональных DevOps команд.
В распоряжении «фабрикантов» будут самые передовые инструменты разработки и CI/CD и современный технологический стек.
Стань частью сообщества разработчиков всей группы компаний (Yota, МегаФон, МегаЛабс, NetByNet) – создавай общие инструменты и обменивайся лучшими практиками.
Компания ищет:
Senior/Middle Java Developer - https://job.megafon.ru/vacancy/seniormiddle-java-developer-fabrika-mikroservisov
Quality Assurance engineer - https://job.megafon.ru/vacancy/quality-assurance-engineer-fabrika-mikroservisov
Python Developer - https://job.megafon.ru/vacancy/python-developer-fabrika-mikroservisov
Junior Java Developer - https://job.megafon.ru/vacancy/junior-java-developer-fabrika-mikroservisov
DevOps engineer - https://job.megafon.ru/vacancy/devops-engineer-fabrika-mikroservisov
Системный аналитик - https://job.megafon.ru/vacancy/sistemnyy-analitik-fabrika-mikroservisov
Фабрика базируется в Нижнем Новгороде и будет работать по гибким методологиям Agile, по принципу кросс-функциональных DevOps команд.
В распоряжении «фабрикантов» будут самые передовые инструменты разработки и CI/CD и современный технологический стек.
Стань частью сообщества разработчиков всей группы компаний (Yota, МегаФон, МегаЛабс, NetByNet) – создавай общие инструменты и обменивайся лучшими практиками.
Компания ищет:
Senior/Middle Java Developer - https://job.megafon.ru/vacancy/seniormiddle-java-developer-fabrika-mikroservisov
Quality Assurance engineer - https://job.megafon.ru/vacancy/quality-assurance-engineer-fabrika-mikroservisov
Python Developer - https://job.megafon.ru/vacancy/python-developer-fabrika-mikroservisov
Junior Java Developer - https://job.megafon.ru/vacancy/junior-java-developer-fabrika-mikroservisov
DevOps engineer - https://job.megafon.ru/vacancy/devops-engineer-fabrika-mikroservisov
Системный аналитик - https://job.megafon.ru/vacancy/sistemnyy-analitik-fabrika-mikroservisov
An Introduction to Super Resolution using Deep Learning
https://medium.com/beyondminds/an-introduction-to-super-resolution-using-deep-learning-f60aff9a499d
https://medium.com/beyondminds/an-introduction-to-super-resolution-using-deep-learning-f60aff9a499d
Medium
An Introduction to Super Resolution using Deep Learning
An elaborate discussion on the various Components, Loss Functions and Metrics used for Super Resolution using Deep Learning.
Plot of Randomly Generated Faces Using the Loaded GAN Model
How to Explore the GAN Latent Space When Generating Faces
https://machinelearningmastery.com/how-to-interpolate-and-perform-vector-arithmetic-with-faces-using-a-generative-adversarial-network/
How to Explore the GAN Latent Space When Generating Faces
https://machinelearningmastery.com/how-to-interpolate-and-perform-vector-arithmetic-with-faces-using-a-generative-adversarial-network/
Facebook is open-sourcing DLRM — a state-of-the-art deep learning recommendation model to help AI researchers and the systems and hardware community develop new, more efficient ways to work with categorical data.
fb: https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/
link: https://arxiv.org/abs/1906.03109
fb: https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/
link: https://arxiv.org/abs/1906.03109
Meta
We are open-sourcing a state-of-the-art deep learning recommendation model to help AI researchers and the systems and hardware…
Everything you need to know about TensorFlow 2.0
Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and more.
https://hackernoon.com/everything-you-need-to-know-about-tensorflow-2-0-b0856960c074
Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and more.
https://hackernoon.com/everything-you-need-to-know-about-tensorflow-2-0-b0856960c074
Hackernoon
Everything you need to know about TensorFlow 2.0 | HackerNoon
On June 26 of 2019, I will be giving a TensorFlow (TF) 2.0 workshop at the <a href="https://www.papis.io/latam-2019">PAPIs.io LATAM conference in São Paulo</a>. Aside from the happiness of being representing <a href="https://www.daitan.com/">Daitan</a> as…
PyTorchPipe
PyTorchPipe (PTP) is a component-oriented framework that facilitates development of computational multi-modal pipelines and comparison of diverse neural network-based models.
https://github.com/IBM/pytorchpipe
PyTorchPipe (PTP) is a component-oriented framework that facilitates development of computational multi-modal pipelines and comparison of diverse neural network-based models.
https://github.com/IBM/pytorchpipe
GitHub
GitHub - IBM/pytorchpipe: PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational…
PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language - GitHub - IBM/pytorchpipe: PyTorchPipe (PTP) is a co...