Introduction to TF Agents and Deep Q Learning (Reinforcement learning with TensorFlow Agents)
https://www.youtube.com/watch?v=2nKD6zFQ8xI
@tensorflowblog
https://www.youtube.com/watch?v=2nKD6zFQ8xI
@tensorflowblog
YouTube
Introduction to TF Agents and Deep Q Learning (Reinforcement learning with TensorFlow Agents)
Wei Wei, a Developer Advocate for TensorFlow, introduces TF Agents and walks through how to use the Deep Q Learning model to solve the cartpole environment.
Resources:
TensorFlow Agents homepage → https://goo.gle/34i7MAI
Train a Deep Q Network with TF Agents…
Resources:
TensorFlow Agents homepage → https://goo.gle/34i7MAI
Train a Deep Q Network with TF Agents…
Инновационный Технологический Центр МОЛНЕТ с 25 по 27 февраля 2022 года проводит онлайн-хакатон «TV Neuro Technologies», в рамках которого участникам предстоит решить одну из четырех задач на выбор с применением SQL, JAVA и нейросетевых технологий:
• Математическое моделирование и прогнозирование развития сложных систем
• Визуализации структуры состояний системы
• Программирование базы данных
• Нейросетевые технологии для классификации данных
Хакатон направлен на поиск специалистов и инновационных решений в областях анализа данных и машинного обучения. Мы ждем математиков, системных и прикладных программистов, разработчиков ПО, специалистов в data-science и аналитиков.
Участники поборются за призовой фонд в размере 400 тысяч рублей, возможность попасть на стажировку или войти в штат сотрудников ИТЦ МОЛНЕТ для реализации своих проектов.
Прием заявок на хакатон открыт до 23 февраля 2022 года.
Подробности и регистрация: https://bit.ly/3sIaeZk
• Математическое моделирование и прогнозирование развития сложных систем
• Визуализации структуры состояний системы
• Программирование базы данных
• Нейросетевые технологии для классификации данных
Хакатон направлен на поиск специалистов и инновационных решений в областях анализа данных и машинного обучения. Мы ждем математиков, системных и прикладных программистов, разработчиков ПО, специалистов в data-science и аналитиков.
Участники поборются за призовой фонд в размере 400 тысяч рублей, возможность попасть на стажировку или войти в штат сотрудников ИТЦ МОЛНЕТ для реализации своих проектов.
Прием заявок на хакатон открыт до 23 февраля 2022 года.
Подробности и регистрация: https://bit.ly/3sIaeZk
Hands-On Stacked Autoencoders with TensorFlow & Keras
https://www.youtube.com/watch?v=PWdBDostVqo
@tensorflowblog
https://www.youtube.com/watch?v=PWdBDostVqo
@tensorflowblog
YouTube
Hands-On Stacked Autoencoders with TensorFlow & Keras
A hands-on coding session to understand the encoder/decoder architecture, feature extraction, codings, and synthetic image generation.
💬 Join the conversation on Discord https://discord.gg/DdsefVZ
🧠 Machine Intelligence Playlist: https://www.youtube.com/…
💬 Join the conversation on Discord https://discord.gg/DdsefVZ
🧠 Machine Intelligence Playlist: https://www.youtube.com/…
The Balloon Learning Environment
https://ai.googleblog.com/2022/02/the-balloon-learning-environment.html
@tensorflowblog
https://ai.googleblog.com/2022/02/the-balloon-learning-environment.html
@tensorflowblog
research.google
The Balloon Learning Environment
Posted by Joshua Greaves, Software Engineer and Pablo Samuel Castro, Staff Software Engineer, Google Research, Brain Team Benchmark challenges have...
Machine Learning for Mechanical Ventilation Control
https://ai.googleblog.com/2022/02/machine-learning-for-mechanical.html
@tensorflowblog
https://ai.googleblog.com/2022/02/machine-learning-for-mechanical.html
@tensorflowblog
research.google
Machine Learning for Mechanical Ventilation Control
Posted by Daniel Suo, Software Engineer and Elad Hazan, Research Scientist, Google Research, on behalf of the Google AI Princeton Team Mechanical...
Robust Routing Using Electrical Flows
https://ai.googleblog.com/2022/02/robust-routing-using-electrical-flows.html
@tensorflowblog
https://ai.googleblog.com/2022/02/robust-routing-using-electrical-flows.html
@tensorflowblog
Googleblog
Robust Routing Using Electrical Flows
Robust Routing Using Electrical Flows
https://ai.googleblog.com/2022/02/robust-routing-using-electrical-flows.html
@tensorflowblog
https://ai.googleblog.com/2022/02/robust-routing-using-electrical-flows.html
@tensorflowblog
Googleblog
Robust Routing Using Electrical Flows
4D-Net: Learning Multi-Modal Alignment for 3D and Image Inputs in Time
https://ai.googleblog.com/2022/02/4d-net-learning-multi-modal-alignment.html
@tensorflowblog
https://ai.googleblog.com/2022/02/4d-net-learning-multi-modal-alignment.html
@tensorflowblog
Googleblog
4D-Net: Learning Multi-Modal Alignment for 3D and Image Inputs in Time
Constrained Reweighting for Training Deep Neural Nets with Noisy Labels
https://ai.googleblog.com/2022/02/constrained-reweighting-for-training.html
@tensorflowblog
https://ai.googleblog.com/2022/02/constrained-reweighting-for-training.html
@tensorflowblog
Googleblog
Constrained Reweighting for Training Deep Neural Nets with Noisy Labels
Federated Learning with Formal Differential Privacy Guarantees
https://ai.googleblog.com/2022/02/federated-learning-with-formal.html
@tensorflowblog
https://ai.googleblog.com/2022/02/federated-learning-with-formal.html
@tensorflowblog
research.google
Federated Learning with Formal Differential Privacy Guarantees
Posted by Brendan McMahan and Abhradeep Thakurta, Research Scientists, Google Research In 2017, Google introduced federated learning (FL), an appro...
Co-training Transformer with Videos and Images Improves Action Recognition
https://ai.googleblog.com/2022/03/co-training-transformer-with-videos-and.html
@tensorflowblog
https://ai.googleblog.com/2022/03/co-training-transformer-with-videos-and.html
@tensorflowblog
Googleblog
Co-training Transformer with Videos and Images Improves Action Recognition
Using Deep Learning to Annotate the Protein Universe
https://ai.googleblog.com/2022/03/using-deep-learning-to-annotate-protein.html
@tensorflowblog
https://ai.googleblog.com/2022/03/using-deep-learning-to-annotate-protein.html
@tensorflowblog
blog.research.google
Using Deep Learning to Annotate the Protein Universe
TRILLsson: Small, Universal Speech Representations for Paralinguistic Tasks
https://ai.googleblog.com/2022/03/trillsson-small-universal-speech.html
@tensorflowblog
https://ai.googleblog.com/2022/03/trillsson-small-universal-speech.html
@tensorflowblog
Googleblog
TRILLsson: Small, Universal Speech Representations for Paralinguistic Tasks
Learning from Weakly-Labeled Videos via Sub-Concepts
https://ai.googleblog.com/2022/03/learning-from-weakly-labeled-videos-via.html
@tensorflowblog
https://ai.googleblog.com/2022/03/learning-from-weakly-labeled-videos-via.html
@tensorflowblog
Googleblog
Learning from Weakly-Labeled Videos via Sub-Concepts
Optimizing Airline Tail Assignments for Cleaner Skies
https://ai.googleblog.com/2022/03/optimizing-airline-tail-assignments-for.html
@tensorflowblog
https://ai.googleblog.com/2022/03/optimizing-airline-tail-assignments-for.html
@tensorflowblog
Googleblog
Optimizing Airline Tail Assignments for Cleaner Skies
Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion
https://ai.googleblog.com/2022/03/multimodal-bottleneck-transformer-mbt.html
@tensorflowblog
https://ai.googleblog.com/2022/03/multimodal-bottleneck-transformer-mbt.html
@tensorflowblog
blog.research.google
Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion
Hybrid Quantum Algorithms for Quantum Monte Carlo
https://ai.googleblog.com/2022/03/hybrid-quantum-algorithms-for-quantum.html
@tensorflowblog
https://ai.googleblog.com/2022/03/hybrid-quantum-algorithms-for-quantum.html
@tensorflowblog
blog.research.google
Hybrid Quantum Algorithms for Quantum Monte Carlo