Neural Networks and TensorFlow - 20 - CNN and Cifar10 - 2
 
Special thank you goes to: Peter Wojciechowski, Orlando Wojciechowski, Orion Wojciechowski, Safoura Alizadeh and Sai Sai for supporting this video!  

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. 

The code: https://github.com/CristiVlad25/nnt-python/blob/master/Neural%20Networks%20and%20TensorFlow%20-%2020%20-%20CNN%20and%20Cifar10%20-%202.ipynb

Machine Learning FB group: https://www.facebook.com/groups/codingintelligence

Support these educational videos: https://www.patreon.com/cristivlad

Recommended readings: 

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

Images:

1. CIFAR10 - Adapted from Alex Krizhevsky at https://www.cs.toronto.edu/~kriz/cifar.html

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