implementation of VGGnet to classify waste images into 6 categories (with TensorFlow)
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Updated
Nov 10, 2022 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
implementation of VGGnet to classify waste images into 6 categories (with TensorFlow)
Learning machine learning and sentiment analysis using TensorFlow
These are some of the codes from introduction to advanced machine learning models in Tensorflow
Learning machine learning and sentiment analysis using TensorFlow
A parking spot detector that uses Tensorflow and machine learning to see what is the status of a parking lot.
simple python server for check picture with one handwritten digits
This is the python framework implementation of open source Machine learning library Tensorflow. the framework id targeted for Lightfield dataset and implements a DCGAN network on Cars dataset
Simple and efficient way of performing deep ensembling to improve robustness as well as estimate uncertainty
A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception. Topics
Predict the species of flower by using pre-built classifier model from tensorflow
A real use case Deep Learning regression model.
Supervised model with sklearn TfidfVectorizer
A Deep Learning powered Virtual Intelligence that learns to play Tic-Tac-Toe
Scattering network for feature extracton to be used in downsteam TF models.
implementing dncnn image denoising using tensorflow
Detecting vehicles and warn them if they get close to another vehicle.
Meters to price predictions using Python and deep learning.
Created by Google Brain Team
Released November 9, 2015