Leaving the MNIST dataset behind, in this lesson we're going to start looking into another dataset, CIFAR10. This is a popular dataset comprising of a couple of tens of thousands of images which are divided into 10 categories, like: airplane, cat, dog, automobile, car, plane, etc. Unlike MNIST, the images in the CIFAR10 dataset are color images. So, instead of 1 color channel, we're gonna have 3 color channels, 1 for each of the RGB. This automatically means that the training process of the neural network is going to require more resources (especially time) to get to a decent performance. Please see the video below for the complete lesson. ___ <center>https://www.youtube.com/watch?v=7TlkKd4vf4o</center> ___ ### <center>To stay in touch with me, follow @cristi</center> ___ [Cristi Vlad](http://cristivlad.com) Self-Experimenter and Author
| author | cristi |
|---|---|
| permlink | neural-networks-and-tensorflow-deep-learning-series-part-19 |
| category | deep-learning |
| json_metadata | {"community":"busy","app":"busy/2.4.0","format":"markdown","users":["cristi"],"links":["/@cristi","http://cristivlad.com"],"tags":["deep-learning","science","busy","programming"]} |
| created | 2018-06-18 12:47:51 |
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#### Hi @cristi! Your post was upvoted by utopian.io in cooperation with steemstem - supporting knowledge, innovation and technological advancement on the Steem Blockchain. #### Contribute to Open Source with utopian.io Learn how to contribute on <a href="https://join.utopian.io">our website</a> and join the new open source economy. **Want to chat? Join the Utopian Community on Discord https://discord.gg/h52nFrV**
| author | utopian-io |
|---|---|
| permlink | 20180619t125736662z |
| category | deep-learning |
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thanks!
| author | cristi |
|---|---|
| permlink | re-utopian-io-20180619t125736662z-20180619t132459692z |
| category | deep-learning |
| json_metadata | {"tags":["deep-learning"],"app":"steemit/0.1"} |
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hiveblocks