TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
A repository for code and data subsets used in different Kaggle data science competitions.
YOLO v3 object detection trained on COCO with CLI interface. OpenCV and TensorFlow Keras implementations and comparison.
A repository containing code for random deep learning experiments.
Logistic Regression in tensorflow, with random datasets and also plotting the best fitted line
A toolkit for the research group's participations on the ImageCLEF challenges
Handwritten Digit Classification using MNIST
Starting to put my python code here
O'Reily Machine Learning with Scikit Learn and Tensorflow
Deep learning demos using MNIST data set with multiple neural network models
Tensorflow test/learning using jupyter notebook
Python code for the paper "Binary classification as a phase separation process", by Rafael Monteiro. Further information can be found in the tutorial website below.
Tensor Flow Tutorials
Deep Learning w/ Tensorflow
Experiments with MNIST using DNN
[ARCHIVED] O neural network built with TensorFlow for a university work.
Created by Google Brain Team
Released November 9, 2015