Coursera – TensorFlow: Advanced Techniques Specialization 2024-9

Published on: 2024-10-03 13:23:07

Categories: 28

Description

TensorFlow: Advanced Techniques Specialization is a TensorFlow library training course . TensorFlow is an open source machine learning platform with a full and flexible ecosystem of tools and libraries . Using TensorFlow, etc., researchers are able, up to the latest achievements in machine learning and also developers can instant to the power of machine learning well-equipped work . The major application of TensorFlow is in applications such as voice recognition, Google Translate, image recognition and natural language processing . This is the course for all software engineers and machine learning that understanding stem from TensorFlow and are looking to expand knowledge and skills by learning the advanced features of TensorFlow are suggested .

The course is divided into 4 sub-periods during which you will gain practical and practical knowledge from TensorFlow . In the first part, you will understand the basic functional principles of the API and build non-sequential models, personalized losses functions and different layers . In the second part, how to function optimization and also how to use the GradientTape and Steve become familiar, and the process of training in different environments and with chip processor and multiple improvements to the prompts . The third part to the recognition and practice the scenario advanced insight into the computer, such as the detection object, etc. sliced image and visual interpretation of twists, and the fourth part also to explore deep learning, productive and how to use hash dildo in the production of new content, etc. encryption, automated, VAEs, and GANs is dedicated .

What do you learn

Understand the basic functional basics of the API and build strange non sequential models losses functions and layers
Learn optimization in different situations and use GradientTape and Autograph
Practice object recognition, image fragmentation and visual interpretation of twists
Explore deep learning the manufacturer for the construction of new content, from the transition style to algorithms Ventilator-Associated Events or VAEs and networks, Generative adversarial network, or GANs

What skills do you acquire

Model commentary
Training rings, loss function and personalized layers
Distribution strategies
Functional API and build personal and extravagant models with it
Use GradientTape to optimize
And …

Specifications of TensorFlow: Advanced Techniques Specialization

Publisher: Coursera
Lecturer: Laurence Moroney, Eddy Shyu
Language: English
Training level: Intermediate
Quantity: 4 courses
Duration of the course: 2 months at 10 hours a week

Courses

TensorFlow_ Advanced Techniques Specialization

Prerequisites

Learners should have a working knowledge of AI and deep learning. They should have intermediate Python skills (understanding of decorators and context managers is preferred) as well as some experience with any deep learning framework (TensorFlow, Keras, or PyTorch). Learners should be proficient in basic calculus, linear algebra, and statistics.
We highly recommend that you complete the Deep Learning Specialization prior to starting this Specialization.