Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book―Amazon, Microsoft, Google, and PythonAnywhere. You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand... [Read More]
Basedon the AI-specific APiM framework, a modular deep neural network learning accelerator without any external caching can be used for high-performance edge computing, as a vision-based deep learning computing and AI algorithm acceleration. Specification: NPU: LightspeeurSPR2801S (28nm process, unique MPE and APiM architecture) Peak: 5.6TOPs@100MHz Low Power: 2.8TOPs@300mW Platform: ApplicableROC-RK3399-PC platform Framework : Support Pytorch, Caffe framework, follow-upsupport TensorFlow Tools: PLAI modeltraining tool(Support for GG1, GNet18 and GNetfc network models based onVGG-16) OS: Suppo... [Read More]
Overview: AAEON's AI modules connect to UP boards and utilize Movidius Myriad chips to deliver powerful hardware solutions for AI applications. Specification: Form factor: mini-PCI-e Interface: Mini PCI-e Supported Frameworks: TensorFlow, Caffe Minimum system requirements: x86_64 computer running,Ubuntu 16.04 Available, mPCI-E slot ,1GB RAM, 4GB free storage space Shipping List: AI Core Modulex1 TECHNICAL SUPPORT: Wiki: https://wiki.up-community.org/Main_Page Download: https://downloads.up-community.org/ Technical FAQs: https://www.aaeon.com/en/support/faq/ Forum: https://forum.up-communit... [Read More]
Overview NVIDIA Jetson TX2 Developer Kit, for the Jetson TX2 AI Supercomputer-on-a-module Features The Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer-on-a-module. Jetson TX2's quad-core ARM A57 and dual-core Denver 2 CPU, 256-core NVIDIA Pascal architecture GPU, and super AI computing ability are ideal for intelligent edge devices like robots, drones, smart cameras, and portable medical devices. It exposes the hardware capabilities and interfaces of the developer board, and also supports NVIDIA Jetpack-a complete S... [Read More]
Overview NVIDIA Jetson TX2 Developer Kit, for the Jetson TX2 AI Supercomputer-on-a-module Features The Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer-on-a-module. Jetson TX2's quad-core ARM A57 and dual-core Denver 2 CPU, 256-core NVIDIA Pascal architecture GPU, and super AI computing ability are ideal for intelligent edge devices like robots, drones, smart cameras, and portable medical devices. It exposes the hardware capabilities and interfaces of the developer board, and also supports NVIDIA Jetpack-a complete S... [Read More]
Overview The Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer-on-a-module. Jetson TX2's quad-core ARM A57 and dual-core Denver 2 CPU, 256-core NVIDIA Pascal architecture GPU, and super AI computing ability are ideal for intelligent edge devices like robots, drones, smart cameras, and portable medical devices. It exposes the hardware capabilities and interfaces of the developer board, and also supports NVIDIA Jetpack-a complete SDK that includes the BSP, CUDA, cuDNN, and TensorRT software libraries for deep learning, comp... [Read More]
Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you
Can Machines Really Learn? Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning has become an essential pillar of IT
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Explore TensorFlow's capabilities to perform efficient deep learning on imagesKey FeaturesDiscover image processing for machine visionBuild an effective image classification system using the power of CNNsLeverage TensorFlow’s capabilities to perform efficient deep learningBook DescriptionTensorFlow is
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