In this talk you will get an introduction into neural networks from first principals using low level TensorFlow 2. From there we will work our way up to TensorFlow’s high level Keras API solving the same simple challenge. Along the way you will understand  how matrix multiplication is the basis of neural networks, how loss functions work, how partial derivatives can be computed and used to bring down the loss of a model architecture