Deep Learning: Traffic Sign Classifier with TensorFlow
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Updated
Jan 10, 2017 - Jupyter Notebook
Deep Learning: Traffic Sign Classifier with TensorFlow
A Jupyter notebook for setting up a single layer neural network with TensorFlow on the MNIST dataset
A notebook used to perform image classification and clustering of Human Trafficking images.
Computer Vision: Vehicle Detection
ipython Notebook
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
Notebooks to tackle the Kaggle Spooky Author competition. The challenge is to accurately identify the author from their sentences.
This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
Python notebooks solving several Machine Learning challenges, mainly from Kaggle.
Aquí podrás encontrar unos apuntes realizados por mí, en los cuáles aprenderás el lenguaje de "C" de la forma más sencilla posible. Si hay alguna cosa que no te termina de quedar clara, no dudes en contactar conmigo. Te invito a visitar mi web:
Eksplorasi Scikit-learn dengan Jupyter Notebook
Python Notebook for Dogs vs Cats Kaggle Competition
A machine learning notebook predicting the upvotes ('recommendations') on New York Times articles.
Jupyter Notebook presentation for class imbalance in binary classification
Jupyter notebook and data for this blog post
Study notebooks made for learning machine learning for the Hawk team
This repository will explain a set of data mining labs to make you familiar with the machine learning process.
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
This repository contains Jupyter notebooks or scripts describing solutions to machine learning problems
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