Specialization in Advanced Techniques 2021-2 – Download
Description
TensorFlow: Specialization in advanced techniques is a training course for the TensorFlow library. TensorFlow is an open source machine learning platform with a complete and flexible ecosystem of tools and libraries. With the help of TensorFlow, etc., researchers are able to access the latest advances in machine learning and developers can also work well equipped with the power of machine learning right away. The main use of TensorFlow is applications such as speech recognition, Google Translate, image recognition and natural language processing. This is the course for all software engineers and machine learners whose skills are based on TensorFlow and who want to expand their knowledge and skills by learning the advanced features of TensorFlow.
The course is divided into 4 sections where you will gain practical and practical knowledge of TensorFlow. In the first part, you will understand the basic operating principles of the API and create non-sequential models, personalized loss functions and various layers. The second part covers how feature optimization works, how to use GradientTape and Steve, the process of training in different environments and chip processors, and numerous improvements to prompts. The third part is to recognize and practice the scenario to gain advanced insight into the computer, such as: Such as the detection object, etc. Cut image and visual interpretation of turns, and the fourth part is also about the exploration of deep learning, productivity and the use of hash dildos in the production of new content, etc. Encryption, automated, VAEs and GANs are dedicated.
What are you learning?
Understand the basic functional fundamentals of the API and create strange non-sequential models, loss functions and layers
Learn optimization in different situations and use GradientTape and Autograph
Practice object recognition, image fragmentation and visual interpretation of rotations
Discover deep learning for new content creation, from transition style to algorithms like Fan-Associated Events or VAEs and Networks, Generative Adversarial Networks or GANs
What skills are you acquiring?
Model comment
Training rings, loss function and personalized layers
Sales strategies
Functional API and use it to create personal and extravagant models
To optimize, use a gradient ribbon
And…
TensorFlow specifications: Specializing in advanced techniques
Publisher: Coursera
Lecturers: Laurence Moroney, Eddy Shyu
Language: English
Education level: intermediate
Quantity: 4 courses
Duration of the course: With the suggested duration of 6 hours per week, approximately 5 months
Courses
- Custom models, layers and loss functions with TensorFlow
- Custom and distributed training with TensorFlow
- Advanced Computer Vision with TensorFlow
- Generative deep learning with TensorFlow
requirements
- Learners should have practical knowledge of AI and deep learning. You should have advanced Python knowledge (decorator and context manager knowledge is preferred) as well as some experience with a deep learning framework (TensorFlow, Keras, or PyTorch). Learners should have a basic knowledge of calculus, linear algebra and statistics.
- We strongly recommend that you fill this out Specialization in deep learning before starting this specialization.
Pictures
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installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 720p
Download link
Password file(s): free software
File size
1.35GB