Neural Network from Scratch in TensorFlow

This 2-hour-long project-based course will teach you how to create a Neural Network model using TensorFlow's core functionality (i.e. Without the use of Keras' high-level API. TensorFlow's automated differentiation will allow you to implement the gradient descent algorithm. Although TensorFlow is easier to use with the Keras API it's worth learning how a lower-level implementation works in TensorFlow. This project will help you get started. You will need to have a good understanding of python programming and TensorFlow basics.