Getting started with TensorFlow 2
Through hands-on coding lessons and tasks, this course teaches you the complete process of using TensorFlow to create deep learning models, from creating and training models to checking their accuracy and saving them.
tensorflow,keras,probabilistic neural networks,tensorflow,probability,ai & machine learning
Description for Getting started with TensorFlow 2
Comprehensive Deep Learning Workflow: Master the entire procedure for constructing deep learning models using TensorFlow, encompassing the phases of development, evaluation, and prediction utilizing the Sequential API.
Model Validation and Regularization: Acquire the expertise to validate models and apply regularization methods to enhance model performance.
Execute Callbacks with Persist/Restore Models: Acquire knowledge on utilizing callbacks for model training and the procedures for saving and loading models for subsequent use.
Applied Programming and Evaluated Tasks: Engage in practical coding tutorials under the supervision of a graduate teaching assistant, and fulfill automatically assessed programming tasks to consolidate knowledge.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Imperial College London
Duration: 26 hours (approximately)
Schedule: Flexible
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