Enroll Course: https://www.coursera.org/learn/getting-started-with-tensor-flow2
Welcome to the exciting world of deep learning with TensorFlow 2! If you’re looking to build, train, and deploy powerful machine learning models, then Coursera’s ‘Getting started with TensorFlow 2’ course is an absolute must-take.
This course provides a complete end-to-end workflow for deep learning development, making it accessible even for beginners. You’ll start by getting acquainted with TensorFlow’s environment, including helpful tools like Google Colab. The course then dives deep into building models using the high-level Keras Sequential API, which allows for rapid development. You’ll get hands-on experience building an image classification model from scratch using the MNIST dataset – a fantastic introduction to practical application.
One of the crucial aspects of machine learning is ensuring your models generalize well. This course excels in teaching you model validation and regularization techniques to prevent overfitting. You’ll learn how to use validation datasets and callbacks to monitor performance and take appropriate actions. The practical assignments, like applying these concepts to the Iris dataset, solidify your understanding.
Furthermore, the ability to save and load models is vital for any real-world project. The course covers various methods, from using callbacks for automatic saving to manual saving and loading, including saving only model weights. You’ll even get to work with pre-trained models and implement flexible saving and loading mechanisms for a satellite image dataset.
Finally, the capstone project is the perfect culmination, allowing you to apply everything you’ve learned to a challenging street view house numbers dataset. This project truly tests your end-to-end deep learning skills.
Overall, ‘Getting started with TensorFlow 2’ is a highly recommended course for anyone wanting to gain practical, hands-on experience with TensorFlow. The clear explanations, practical coding tutorials, and well-structured syllabus make it an invaluable resource for aspiring machine learning engineers and data scientists.
Enroll Course: https://www.coursera.org/learn/getting-started-with-tensor-flow2