Results for: TensorFlow
Exploring AIMET’s Quantization-aware Training Functionality
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In Exploring AIMET’s Post-Training Quantization Methods, we discussed Cross-layer Equalization (CLE), Bias Correction, and AdaRound in AIMET. Using these methods, the...
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Exploring AIMET’s Post-Training Quantization Methods
*/ AIMET White Paper
Usually, when you’re presented with three options, such as powerful, efficient, and low cost, you’re also faced with the conundrum where you’re only allowed to pick one...
https://developer.qualcomm.com/blog/exploring-aimet-s-post-training-quantization-methodsTags:
Neural Network Optimization with AIMET
To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models' size and complexity while taking advantage...
https://developer.qualcomm.com/blog/neural-network-optimization-aimetTags:
Training ML Models at the Edge with Federated Learning
Centralized machine learning (ML) is the ML workflow that most of us are familiar with today, where training is allocated to powerful servers which update model parameters using large datasets. The...
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New projects for video capture/playback and AI on QCS610
Start and stop video recording through an Azure IoT hub.
Send the status of your camera recordings to the AWS IoT console.
Use GStreamer plug-ins to record [email protected], [email protected] and 1080p video...
https://developer.qualcomm.com/blog/new-projects-video-captureplayback-and-ai-qcs610Tags:
TensorFlow Lite for Inference at the Edge
Qualcomm products mentioned within this post are offered by Qualcomm Technologies, Inc. and/or its subsidiaries. In our introductory blog on TensorFlow, we discussed the framework's graph-...
https://developer.qualcomm.com/blog/tensorflow-lite-inference-edgeTags:
From Training to Inference: A Closer Look at TensorFlow
As machine learning (ML) has grown, many open source frameworks have come along, effectively democratizing what was once reserved for artificial intelligence (AI) researchers. Of these frameworks...
https://developer.qualcomm.com/blog/training-inference-closer-look-tensorflowTags:
Running Inference Using a Pre-trained Neural Network
In a previous artificial intelligence blog, AI Machine Learning Algorithms – How a Neural Network Works, we looked at the basics of how a neural network is structured with layers and how such a...
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AI Machine Learning Algorithms – How a Neural Network Works
In my previous blog, Mobile AI Through Machine Learning Algorithms, I mentioned that a neural network is a popular artificial intelligence (AI) mechanism, and that advances in processing power means...
https://developer.qualcomm.com/blog/ai-machine-learning-algorithms-how-neural-network-works