TensorFlow 2.0 Crash Course

Overview

Dive into a comprehensive crash course on TensorFlow 2.0 designed for beginners. Learn the fundamentals of neural networks and their implementation using Python and TensorFlow 2.0. Explore key concepts such as data loading and analysis, model creation, making predictions, and text classification. Gain hands-on experience with embedding layers, model training, and saving and loading models. Discover how to install TensorFlow GPU on Linux for enhanced performance. Perfect for those seeking a quick yet thorough introduction to TensorFlow 2.0, this 2-3 hour course covers essential topics to jumpstart your journey in deep learning and neural networks.

Syllabus

) What is a Neural Network?.
) How to load & look at data.
) How to create a model.
) How to use the model to make predictions.
) Text Classification (part 1).
) What is an Embedding Layer? Text Classification (part 2).
) How to train the model - Text Classification (part 3).
) How to saving & loading models - Text Classification (part 4).
) How to install TensorFlow GPU on Linux.