Learn to implement a simple neural network (multilayer perceptron) using TensorFlow 2 and Keras in this 25-minute tutorial. Follow along as the instructor demonstrates how to build, train, and test a model to perform arithmetic sum operations. Explore key concepts including train-test split, model construction, evaluation, and prediction. Access the provided GitHub repository for the complete code implementation. Join the Sound of AI Slack community for further discussions and connect with the instructor on various social media platforms for additional resources and potential consulting opportunities.
How to Implement a Simple Neural Network With TensorFlow 2
Valerio Velardo - The Sound of AI via YouTube
Overview
Syllabus
Introduction
What should we do
Train test split
Building the model
Testing the model
Evaluation
Prediction
Taught by
Valerio Velardo - The Sound of AI
