First Neural Network model working with relationships between x and y

Consider the following sets of numbers. Can you see the relationship between them?

As you read left to right, notice that the X value is increasing by 1 and the corresponding Y value is increasing by 3. So, the relationship should be Y=3X plus or minus some value.

Then, take look at the 0 on X and see that the corresponding Y value is 1.

From both of these observations, you can determine that the relationship is Y=3X+1.

This is almost exactly how you would use code to train a model, known as a neural network, to spot the patterns in the data!

You use data to train the neural network! By feeding it with a set of Xs and a set of Ys, it should be able to figure out the relationship between them.

Requirements📐:

pip install google-cloud-logging

pip install ---upgrade protobuf

pip install --upgrade tensorflow

Check if TensorFlow is installed. Run the following command in the terminal:

python -c "import tensorflow;print(tensorflow.__version__)"