TensorFlow
TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
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TensorFlow is an end-to-end open source platform for machine learning. TensorFlow makes it easy for beginners and experts to create machine learning models
TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages.
Official Website Link : https://www.tensorflow.org/
Links
Documentation
Documentation & Developer Guides
Using TensorFlow with Weights & Biases
Train a quick model using TensorFlow and track results with W&B
Customizing Training Loops in TensorFlow 2.0
A guide on customizing your training Loops in TensorFlow
Visualizing TensorFlow 2 models with Weights & Biases
Integrate your TensorFlow models with Weights & Biases and can see your live metrics streaming into visualizations, and compare new results to your previous baselines.
Let's Talk ConvMixer Architecture. What it is? Why you should use it? And how you can use it?
learn what the novel ConvMixer model is and how to implement it in TensorFlow (with a little vision transformers for good measure).
Real Time Social Distance Detector using TensorFlow Lite Object Detection Api(TFOD)
The report explains how to build a fast and accurate social distance detector to run on-device inference using real-time video feed
How to Install TensorFlow with GPU Support on Windows
This report shows how to correctly install TensorFlow on a GPU-enabled system with a Windows operating system.
Get Started with TensorFlow Lite Examples Using Android Studio
A step-by-step guide towards running example apps on your phone using Android Studio, TensorFlow Lite, and USB debugging
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