In this repository some of the most fundamental concepts of tensors using TensorFlow
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Updated
Aug 7, 2023 - Jupyter Notebook
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
In this repository some of the most fundamental concepts of tensors using TensorFlow
This repo is to help me get started learning about and utilizing TensorFlow.
Digit recognition of given images using tensorflow and neural networks.
TensorFlow bindings for Savi.
Supervised MNIST Classifier
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implementation of VGGnet to classify waste images into 6 categories (with TensorFlow)
this repository is created for preparing tensorflow developer certification.
DeepLearning.AI TensorFlow Developer Professional Certificate
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Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos. An attempt is made in this study to detect and extract objects in an image implemented on android platform. Color images are converted to binary image.
Learning machine learning and sentiment analysis using TensorFlow
These are some of the codes from introduction to advanced machine learning models in Tensorflow
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TensorFlow Guide Repository which can be used by beginners to learn basics of TensorFlow. Also has regression notebook open for contributors to perform some basic preprocessing.
BERT QnA API to answer prompts based on Context. (Using CDN)
Created by Google Brain Team
Released November 9, 2015