Notes:
Deep learning in the cloud typically involves the use of cloud-based platforms and services to train and deploy deep learning models. This can include a variety of different components, such as cloud-based hardware and infrastructure for running deep learning algorithms, cloud-based development tools and frameworks for building and managing deep learning models, and cloud-based services for deploying and serving the models in production environments.
In many cases, deep learning in the cloud involves the use of specialized cloud platforms and services that are designed specifically for deep learning applications. These platforms often provide a range of features and capabilities that are tailored to the needs of deep learning, such as high-performance computing resources, advanced networking and storage infrastructure, and scalable and flexible deployment options. They may also include specialized tools and libraries for building, training, and deploying deep learning models, as well as integrations with popular deep learning frameworks and libraries, such as TensorFlow and PyTorch.
Overall, deep learning in the cloud allows organizations and individuals to leverage the power and scalability of the cloud to train and deploy deep learning models, and to build sophisticated and powerful artificial intelligence applications. This can help accelerate the development and deployment of deep learning solutions, and make them more accessible and affordable to a wider range of users.
- Deep cloud
Resources:
- h2o.ai .. open source machine learning and artificial intelligence platform
- mediapipe.dev .. customizable machine learning solutions for live and streaming media
- tensorflow.org .. open source machine learning platform
- xanadu.ai .. quantum computing powered by light
Wikipedia:
- Category:Deep learning
- Cloud computing
- Deep learning
- Exascale computing
- Generative adversarial network (GAN)
- Janus Recognition Toolkit (JRTk)
- Quantum computing
References:
See also:
100 Best Deep Learning Tutorial Videos | 100 Best GitHub: Deep Learning | 100 Best Google Colab TensorFlow Videos | 100 Best Natural Language Deep Learning Videos | 100 Best TensorFlow Chatbot Videos | 100 Best TensorFlow Videos | Deep Learning & Chatbots | TensorFlow & Chatbots 2019
- Xianzhi Li — Robust 3D Point Cloud Analysis via Deep Learning Approaches
- Deep Learning Image Classification in Google Cloud (AutoML)
- Ep141: The Cloud Pod Wears Gaudi Outfits for Amazon’s New Deep Learning Accelerator
- 2021 Cloud Computing and Big Data Practical Lecture 7.1 Distributed Deep Learning Part1
- 2021 Cloud Computing and Big Data Practical Lecture 7.1 Distributed Deep Learning Part2
- 2021 Cloud Computing and Big Data Lecture 7 Deep Learning Applications in Clouds Part2
- 2021 Cloud Computing and Big Data Lecture 7 Deep Learning Applications in Clouds Part1
- Slingshot Phase 2.5 – Orion Deep Learning Cloud
- 2021 Cloud Computing and Big Data Lecture 6 Deep Learning driven by Big Data Part2
- 2021 Cloud Computing and Big Data Lecture 6 Deep Learning driven by Big Data Part1
- Australia 2021 Designing Scalable HPC, Deep Learning, and Cloud Middleware for Exascale Systems
- Demo: Serverless computing across the Cloud continuum for Deep Learning Inference with OSCAR
- Serverless Computing across the Cloud continuum for Deep Learning Inference with OSCAR
- Facebook’s Bichen Wu Explores Efficient Deep Learning for 3D Point Cloud Understanding (Preview)
- ID 206 Robust Cloud Detection from Satellite Images Using Deep Learning
- Deep Learning: EDGE CLOUD for DA on IOT
- Cloud Prediction Based on the Combination of Optical Flow and Deep Learning
- Deploying a Deep Learning Model on Google Cloud AI Platform
- A comparison of deep learning methods for airborne lidar point cloud classification
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- Get the Most out of Your Cloud-Based ATS with Deep Learning AI
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- Deep Learning – Training – Screen shared – Cloud – Rent Basis
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- 2020 Cloud Computing and Big Data Practical Lecture 7.1 Using Deep Learning in Clouds Part1
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- CHATBOT CREATION BY CLOUD TECHNOLOGY & DEEP LEARNING
- CHATBOT CREATION BY CLOUD TECHNOLOGY & DEEP LEARNING
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- Practical Deep Learning on the Cloud: Working with TensorFlow | packtpub.com
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- Practical Deep Learning on the Cloud: What Is Serverless/Cluster Processing? | packtpub.com
- Practical Deep Learning on the Cloud: The Course Overview | packtpub.com
- “Inference Cloud” service to make deep learning more accessible
- Ultra Fast Deep Learning in Hybrid Cloud Using Intel Analytics Zoo & Alluxio
- Deep learning Japan / Google cloud & Retrip
- How to Design Scalable HPC, Deep Learning and Cloud Middleware for Exascale Systems
- IBM Cloud Annotation and power AI for Deep Learning Object Detection
- Google Colab tutorial – easy and free GPU deep learning practice in cloud
- Cloud Composed by Deep Learning(AI)
- Point Cloud Semantic Segmentation using a Deep Learning framework for Cultural Heritage
- Cloud Structures Classifier – U OF T Deep Learning (3546) – final term project
- Train deep learning model using Aivia Cloud 2.0
- Keynote: Designing Scalable HPC, Deep Learning, Big Data, and Cloud Middleware for Exascale Systems
- Deep Learning Classification With Cloud Computing
- Using Azure Machine Learning service to cloud accelerate deep learning
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- M3 2018: Skalieren von Deep Learning Frameworks … Cloud-Infrastrukturen, Kubernetes (Jäger, Zorn)
- Google Cloud Data Catalog, YouTube-8M Segments, & Deep Learning Containers
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- Machine Learning/Deep Learning 2019: Algorithmen in der Cloud trainieren
- Intel – Deep Learning and the Edge Cloud
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- Applied Deep Learning with TensorFlow & Google Cloud AI: The Course Overview | packtpub.com
- Applied Deep Learning with TensorFlow & Google Cloud AI: Introduction | packtpub.com
- Applied Deep Learning with TensorFlow & Google Cloud AI: Introduction | packtpub.com
- Austin Deep Learning – Tensorboard + Google Cloud
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- Deep Learning in the Azure Cloud
- How to Design Scalable HPC, Deep Learning and Cloud Middleware for Exascale Systems
- Deep Learning Italia Meetups – Paolo Fusari – Cloud Platforms & ML – Gennaio 2019
- Cloud Classification Through Deep Learning Demo
- Deep Learning in the Cloud Demo
- Object grasping using deep learning and point cloud
- Using Kubernetes to Offer Scalable Deep Learning on Alibaba Cloud – Kai Zhang & Yang Che, Alibaba
- AI in the Cloud: Deep Learning as a Service w/ Boston’s Talyn Flash IO powered by Excelero’s NVMesh
- Deep learning tackles cloud detection
- Hands On Meetup: Training deep-learning models on the cloud – Nilakash Das
- Inro What is Aws Machine Learning,Deep learning,cloud
- Training Deep Learning Models in Cloud for Free!!!
- Deep Learning Italia – Meetup – SK Reddy – 3D Point Cloud analysis using Deep Learning
- 3D Point Cloud analysis using Deep Learning
- 3D Point Cloud analysis using Deep Learning, SK Reddy
- Interactive Deep Learning in Cloud via MMLSpark – Tong Wen
- Designing HPC, Deep Learning and Cloud Middleware for Exascale Systems
- Deep Learning Images for Google Compute Engine (Google Cloud AI Huddle)
- Getting Started with Deep Learning Models in R using Google Cloud and RStudio (Cloud Next ’18)
- TensorFlow, Deep Learning, and Modern Convolutional Neural Nets, Without a PhD (Cloud Next ’18)
- Cloud OnAir: Accelerated deep learning using Cloud TPUs
- Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
- Automated Deep Learning System in the Cloud
- Distributed Deep Learning Using Java on the Client and in the Cloud
- Designing Scalable HPC, Deep Learning and Cloud Middleware for Exascale Systems
- Deep Learning – Cloud Classification
- DevStack Deep Learning Cloud
- Deep learning on the cloud (AWS) | My setup
- TensorFlow and the Google Cloud ML Engine for Deep Learning : Introducing MNIST
- TensorFlow and the Google Cloud ML Engine for Deep Learning : Estimators
- TensorFlow and the Google Cloud ML Engine for Deep Learning : Install TensorFlow
- TensorFlow and the Google Cloud ML Engine for Deep Learning : You, This Course and Us
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- CubeSat on-board cloud detection using deep learning
- Deep Learning on the Cloud – GPU TO LEARN FASTER
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- Cloud ML Engine part 2 – Intro to Deep Learning using TensorFlow #16
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- Why and How – Google Cloud Natural API – Deep learning with Dialog Flow (API.AI)
- AWS re:Invent 2017: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
- Google Cloud Next Madrid ’17- Israel Olalla : “Tensor Flow y Deep Learning sin un PhD”
- Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero
- Innovation Lane Partner @ Oracle Cloud Day 2017: Fizyr | Deep Learning for Vision Guided Robots
- Miro – OpenCV/HaaR – Deep Learning for object detection (in the cloud)
- Google Cloud Next Milan ’17 – Lucio Floretta: “TensorFlow e deep learning alla portata di tutti”
- Deep Learning using GPU in Cloud – Floydhub – 2
- Deep Learning using GPU in Cloud – 1
- NVIDIA Unveils GPU-accelerated AI Cloud Platform for Deep Learning, NVIDIA GTP 2017 Keynot
- Xanadu for Big Data + IoT + Deep Learning + Cloud Integration Strategy
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- Xanadu for Big Data + IoT + Deep Learning + Cloud Integration Strategy
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- Machine Learning and Deep Learning in the Cloud – Shyamal Patel, MATLAB
- AWS Showcase Event – Analytica – Deep learning and Cloud-native
- TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next ’17)
- TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next ’17)
- Cloud based Deep Learning infrastructure at scale (Rino Montiel, Germany)
- AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
- AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverability on AWS (MAC205)
- Cloud AI Robotics Tech Talk – TensorFlow: Deep Learning for Everyone
- datascience@berkeley | Deep Learning in the Cloud and at the Edge