Description
This TensorFlow deep learning course offers an in-depth look at Artificial Neural Networks (ANN), including how to set their hyperparameters. We’ll also explore image processing with Convolutional Neural Networks (CNN) and sequence learning with Recurrent Neural Networks (RNN) and Long Short-Term Memory networks (LSTM).
The course provides a mix of theory and hands-on practice. It’s fully interactive, and you’ll get to work with real-world datasets. Download the project files from GitHub to practice. You’ll also learn to evaluate model performance, implement real-time data processing, and develop skills for debugging models
