tensorflow-experiments
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Here are 317 public repositories matching this topic...
O'Reily Machine Learning with Scikit Learn and Tensorflow
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Jun 22, 2017
Deep learning demos using MNIST data set with multiple neural network models
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May 16, 2017 - Python
Tensorflow test/learning using jupyter notebook
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Sep 2, 2019 - 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.
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Nov 2, 2021 - Jupyter Notebook
A repository for code and data subsets used in different Kaggle data science competitions.
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Nov 27, 2018 - Python
A repository containing code for random deep learning experiments.
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Jun 18, 2019 - Jupyter Notebook
Logistic Regression in tensorflow, with random datasets and also plotting the best fitted line
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Dec 18, 2018 - Jupyter Notebook
A toolkit for the research group's participations on the ImageCLEF challenges
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Jun 6, 2022 - Python
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Nov 20, 2018 - Jupyter Notebook
Handwritten Digit Classification using MNIST
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Apr 14, 2020 - Python
Starting to put my python code here
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Oct 5, 2018 - Jupyter Notebook
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Dec 11, 2022 - JavaScript
YOLO v3 object detection trained on COCO with CLI interface. OpenCV and TensorFlow Keras implementations and comparison.
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Oct 12, 2021 - Python
Tensor Flow Tutorials
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Jul 7, 2017 - Python
Deep Learning w/ Tensorflow
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Mar 13, 2018 - Jupyter Notebook
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Jan 24, 2018 - Jupyter Notebook
Experiments with MNIST using DNN
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Aug 20, 2017 - Jupyter Notebook
[ARCHIVED] O neural network built with TensorFlow for a university work.
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Jun 26, 2017 - Python
Created by Google Brain Team
Released November 9, 2015
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