code and resources for working with neural networks and the MNIST dataset. The MNIST dataset is a widely used benchmark dataset in machine learning, consisting of 70,000 handwritten digit images, each 28 x 28 pixels in size. The goal of the dataset is to train a neural network to accurately classify the digits from 0 to 9.

• StackDeepLearning, neural-style, Python, Tensorflow, Google Colab
• ToolsPython 3 and several Python packages, including NumPy, TensorFlow, and Keras.
• Source CodeMNIST-Dataset- Google Colab On Github
• BlogpostNeural networks and MNIST dataset

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• VideoVideo Work Created with Deep Learning
• ArticleHow to classify MNIST digits with different neural network architectures

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