Description

In this course, you will learn

• Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.

• Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.

• Build natural language processing systems using TensorFlow.

• Apply RNNs, GRUs, and LSTMs as you train them using text repositories.