Learn how to use TensorFlow 2.0 to create neural networks with Python in this crash course. The course covers topics such as understanding neural networks, loading and analyzing data, model creation, making predictions, text classification, embedding layers, model training, saving and loading models, and installing TensorFlow GPU on Linux. The course aims to equip beginners with the skills to work with TensorFlow 2.0 through practical demonstrations. The teaching method involves hands-on coding examples and explanations. This course is designed for beginners interested in learning TensorFlow 2.0 and neural network basics.
Overview
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.
Taught by
freeCodeCamp.org
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