Description
TensorFlow: Basic to Advanced Training. This course takes you on a comprehensive journey through the world of TensorFlow, guiding you from the basics to advanced applications of machine learning and deep learning with this powerful open source framework. Starting with an introduction to machine learning and TensorFlow’s unique capabilities, students gain the foundational knowledge that forms the foundation for more complex concepts. The course begins with an installation and setup tutorial to ensure that each student has the tools and environment necessary to develop with TensorFlow. The introductory modules cover the fundamental building blocks of TensorFlow, including tensors, operations, computational graphs, and sessions. Through these topics, students will understand the core components of TensorFlow and how to use them effectively for simple projects and data operations. By the end of the course, learners will have acquired not only the technical knowledge but also the practical experience necessary to implement, deploy, and manage TensorFlow models in professional environments. This course is ideal for anyone looking to advance their career in data science, machine learning or artificial intelligence, giving them the expertise they need to tackle complex challenges in today’s data-driven world.
What you will learn in this course:
- The core concepts of TensorFlow, from setup to model building, allow them to confidently create machine learning projects.
- Techniques for building CNNs and RNNs for image, language, and sequence data, allowing them to solve various ML problems.
- Skills for deploying TensorFlow models in production, including scaling with distributed computing and deploying to mobile.
- Hands-on experience with real-world applications of ML, building models for image recognition, sentiment analysis, and more.
This course is suitable for people who:
- Data scientists and forward-thinking ML engineers who want to build a solid foundation in TensorFlow for real-world machine learning projects.
- Developers and programmers interested in expanding their skills to include machine learning and neural networks
- Students and professionals in data science, artificial intelligence, or related fields looking to add TensorFlow to their toolbox.
- People who are self-taught learners who enjoy hands-on projects and are ready to immerse themselves in practical and scalable applications of machine learning.
TensorFlow: Basic to Advanced Training Course Specifications
- Publisher: Udemy
- Instructor: Vivian Aranha
- Training level: Beginner to advanced
- Training duration: 4 hours and 33 minutes
- Number of lessons: 48
Course headings
Prerequisites for the TensorFlow: Basic to Advanced Training course
- Basic programming knowledge, ideally in Python
- Understanding of fundamental math concepts like linear algebra and probability
- Familiarity with machine learning basics is helpful but not required
- A computer with internet access for installing TensorFlow and coding projects
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
446 MB