Enroll Course: https://www.coursera.org/learn/customising-models-tensorflow2
If you’re looking to elevate your deep learning skills and gain hands-on experience with building highly customised models, the Coursera course ‘Customising your models with TensorFlow 2’ is an excellent choice. This comprehensive course guides you through the process of developing complex model architectures using TensorFlow’s lower-level APIs, offering a deeper understanding beyond high-level abstractions. From creating multi-input/output models with the Keras functional API to designing flexible data pipelines with tf.data, you’ll learn essential skills for real-world applications. The course also covers sequence modelling, enabling you to tackle problems like natural language processing and time-series forecasting with recurrent neural networks. Advanced learners will appreciate the modules on model subclassing and custom training loops, which provide maximum control over model behaviour. The capstone project, translating English into German, synthesizes all these concepts into a challenging, practical task. Overall, this course is highly recommended for anyone wanting to master the art of customised deep learning with TensorFlow 2, whether you’re a budding data scientist or an experienced AI developer.
Enroll Course: https://www.coursera.org/learn/customising-models-tensorflow2