Neural Network from Scratch in TensorFlow

In this 2-hour project-based course, you will delve into the implementation of a Neural Network model in TensorFlow without the assistance of high-level APIs like Keras. Through this hands-on experience, you will gain a deeper understanding of the core functionality of TensorFlow and its automatic differentiation capabilities. The course is designed to equip you with the skills needed to implement the gradient descent algorithm and solve multi-class classification problems using the neural network implementation.

• Gain proficiency in implementing a neural network from scratch using TensorFlow
• Solve multi-class classification problems using the neural network implementation

Prior familiarity with Python programming, TensorFlow basics, conceptual understanding of Neural Networks, and gradient descent is recommended for successful participation in this project. Please note that this course is optimized for learners based in the North America region and efforts are underway to extend this experience to other regions.