Getting started with TensorFlow 2
Getting started with TensorFlow 2 is among the Best Online Convolutional Neural Network Courses. You'll learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating, and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models in this course. In practical, hands-on coding lessons, which you will be guided through by a graduate teaching assistant, you will put what you learn into practice right away.
There's also a series of automatically graded programming projects to help you brush up on your abilities. At the end of the course, you'll complete a Capstone Project in which you'll build an image classifier deep learning model from the ground up, bringing many of the ideas together. Tensorflow is an open source machine library that is one of the most popular deep learning frameworks. Tensorflow 2 is a significant step forward in product development, with an emphasis on simplicity of use for all users, from beginners to experts. This course is designed for those who are new to Tensorflow as well as those who have worked with Tensorflow 1.x.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Intermediate Level
- Approx. 26 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Coursera Rating: 4.9/5
Enroll here: https://www.coursera.org/learn/getting-started-with-tensor-flow2
