In this series we're going to look into concepts of deep learning and neural networks with TensorFlow.
In this lesson we're going to quickly create two functions to handle the unpickling of the dataset as well as the encoding of the dataset through a one hot encoder. Then, we're gonna do some visualization of the dataset.
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1. Nikhil Buduma - Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms - https://www.amazon.com/dp/1491925612
2. Hope, Resheff and Lieder - Learning TensorFlow: A Guide to Building Deep Learning Systems - https://www.amazon.com/dp/1491978511
1. CIFAR10 - Adapted from Alex Krizhevsky at https://www.cs.toronto.edu/~kriz/cifar.html