Home AI Courses TensorFlow 2: Deep Learning Specialization

TensorFlow 2: Deep Learning Specialization

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The specialization caters to machine learning professionals seeking TensorFlow skills through a structured progression from basics to advanced topics, emphasizing practical application through capstone projects.

Key AI Functions:Tensorflow,keras,Probabilistic Neural Networks,TensorFlow Probability

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Description for TensorFlow 2: Deep Learning Specialization

Audience: Machine learning researchers and practitioners who are interested in acquiring practical skills in TensorFlow.

Course Structure: The specialization consists of three courses, which commence with fundamental concepts and proceed to more advanced topics such as probabilistic approaches and custom model development.

Focus Areas: Each course emphasizes distinct components, including fundamental model construction and validation, as well as more sophisticated subjects such as custom layers and probabilistic models that utilize TensorFlow Probability.

Applied Learning: Capstone projects and programming assignments that encompass a variety of applications, including image classification and text generation, are used to refine practical skills.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Imperial College London

Duration: 3 months at 10 hours a week

Schedule: Flexible

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