Enroll Course: https://www.coursera.org/learn/intro-tensorflow-br

Are you looking to dive into the world of machine learning and need a solid foundation in one of its most powerful tools? Look no further than Coursera’s “Intro to TensorFlow em Português Brasileiro.” This course is an excellent starting point for anyone eager to leverage TensorFlow 2.x and Keras for building, training, and deploying machine learning models.

The course kicks off with a comprehensive introduction to TensorFlow 2.x, highlighting its user-friendly Keras integration. You’ll gain a clear understanding of the TensorFlow API hierarchy and get hands-on experience with core components like tensors and variables. The practical exercises are invaluable for solidifying these concepts.

A significant portion of the course is dedicated to designing and creating robust input data pipelines using `tf.data.Dataset`. You’ll learn to work with various data types, including CSV files, NumPy arrays, text, and images. The ability to create feature columns, whether numerical, categorical, binned, or hashed, is a crucial skill that this course effectively imparts.

When it comes to model building, the course expertly guides you through training neural networks using both the Keras Sequential and Functional APIs. The Sequential API is perfect for straightforward model architectures, and the course provides clear explanations of activation functions, loss functions, and optimizers. You’ll even learn how to deploy your trained models for cloud-based predictions.

For more complex model architectures, the Keras Functional API is introduced as a powerful alternative. This section is particularly insightful, as it demonstrates how to create models with multiple inputs, multiple outputs, shared layers, and non-linear topologies. The concept of a deep learning model as a directed acyclic graph (DAG) of layers is well-explained, empowering you to build more sophisticated and flexible models. Furthermore, the course touches upon regularization techniques to enhance model performance.

In summary, “Intro to TensorFlow em Português Brasileiro” provides a well-rounded education in TensorFlow. It revisits key concepts, reinforces practical coding skills with the TensorFlow API, `tf.data`, and both Keras Sequential and Functional APIs, and even introduces scaling machine learning models with AI Platform on Cloud. If you’re looking for a practical, hands-on introduction to TensorFlow in Brazilian Portuguese, this course comes highly recommended.

Enroll Course: https://www.coursera.org/learn/intro-tensorflow-br