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Updated 4 years ago
Copyright 2019 The TensorFlow Authors.
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# limitations under the License.Beyond Hello World, A Computer Vision Example
In the previous exercise you saw how to create a neural network that figured out the problem you were trying to solve. This gave an explicit example of learned behavior. Of course, in that instance, it was a bit of overkill because it would have been easier to write the function Y=2x-1 directly, instead of bothering with using Machine Learning to learn the relationship between X and Y for a fixed set of values, and extending that for all values.
But what about a scenario where writing rules like that is much more difficult -- for example a computer vision problem? Let's take a look at a scenario where we can recognize different items of clothing, trained from a dataset containing 10 different types.
Start Coding
Let's start with our import of TensorFlow
import tensorflow as tf
print(tf.__version__)2.3.0