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
Docker files to build tensorflow from source
This repo is to help me get started learning about and utilizing TensorFlow.
Digit recognition of given images using tensorflow and neural networks.
implementation of VGGnet to classify waste images into 6 categories (with TensorFlow)
Supervised MNIST Classifier
A website app that detects ASL hand gestures using Mediapipe and Tensorflow
TensorFlow bindings for Savi.
this repository is created for preparing tensorflow developer certification.
DeepLearning.AI TensorFlow Developer Professional Certificate
Learning machine learning and sentiment analysis using TensorFlow
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.
Little example of TensorFlowJS using a pre loaded Artificial Neural Network (ANN). 🧠
These are some of the codes from introduction to advanced machine learning models in Tensorflow
BERT QnA API to answer prompts based on Context. (Using CDN)
Learning machine learning and sentiment analysis using TensorFlow
Created by Google Brain Team
Released November 9, 2015