Neural Networks with TensorFlow 2 and Keras in Python (Jupyter notebooks included)
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Updated
Nov 11, 2020 - Jupyter Notebook
Neural Networks with TensorFlow 2 and Keras in Python (Jupyter notebooks included)
Jupyter notebooks demonstrating the creation of Neural Networks from scratch to classify MNIST handwritten digits using Python and SciPy.
Built from scratch SVM, Kernel Perceptron and Neural Network implemented to recognize handwritten digits from the mnist dataset. Includes jupyter notebook of code, mnist handwritten digit data and a PDF of the code & results.
This notebook implements a neural network using Julia Flux to recognize handwritten digits from MNIST dataset.
Repository containing Databricks notebooks for the training of a PyTorch model on Spark's distributed environment using the SparkTorch library.
This is a repository with various classifier written in jupyter notebook that works on hand written digits images.
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