TensorFlow 2.0 Crash Course
Offered By: freeCodeCamp
Course Description
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.
Taught by
freeCodeCamp.org
Related Courses
How Google does Machine Learning en EspaƱolGoogle Cloud via Coursera Creating Custom Callbacks in Keras
Coursera Project Network via Coursera Automatic Machine Learning with H2O AutoML and Python
Coursera Project Network via Coursera AI in Healthcare Capstone
Stanford University via Coursera AutoML con Pycaret y TPOT
Coursera Project Network via Coursera