Use TensorFlow to build and tune deep learning models. Includes **Python**, **Deep Learning**, **Neural Networks**, **TensorFlow**, **Keras**, and more.

Ready to start your journey into Deep Learning with TensorFlow? In this course, you will learn how to create, train, and test a neural network in TensorFlow ...

TensorFlow is a free and open-source library for artificial intelligence and machine learning created by the Google Brain team. It is primarily used with ...

Classify image data with deep learning. This course includes AI assistance for guided coding help, projects to apply new skills, quizzes to test your knowledge.

6 сент. 2024 г. · A neural network is a computing technique for creating programs that can process and learn from data, imitating the behavior of the human brain.

In this course, you will learn how to create neural network models to solve classification problems. Read more. Skills you'll gain.

12 июл. 2024 г. · Keras is a high-level library used with TensorFlow in Python. It is used to create deep learning and neural network models.

Fit and Evaluate Your Deep Learning Model. Once a deep learning model is compiled, it is time to fit it to the training data and evaluate it on the test data.

Deep Learning with TensorFlow: Classification. Build deep learning models to classify data.

Image classification involves finding the complex patterns in pixels necessary to map an image to its label and is a common application of deep learning.