Artificial Intelligence - TensorFlow Machine Learning
- 3.3
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Brief Introduction
AI and Machine Learning from theory to the required hands-on experience by using latest TensorFlow JavaScript frameworkDescription
This course teaches machine learning from the basics so that you can get started with created amazing machine learning programs. With a well structured architecture, this course is divided into 4 modules:
Theory section: It is very important to understand the reason of learning something. The need for learning machine learning and javascript in this particular case is explained in this section.
Foundation section: In this section, most of the basic topics required to approach a particular problem are covered like the basics of javascript, what are neural networks, dom manipulation, what are tensors and many more such topics
Practice section: In this section, you put your learnt skills to a test by writing code to solve a particular problem. The explanation of the solution to the problem is also provided in good detail which makes hands-on learning even more efficient.
Project section: In this section, we build together a full stack project which has some real life use case and can provide a glimpse on the value creation by writing good quality machine learning programs
Happy Coding,
Vinay Phadnis :)
Requirements
- Requirements
- Interest about Machine Learning
- Wanting to learn Artificial Intelligence on the world's most used platform
- Interest about Tensorflow
Vinay Phadnis
3.3 Raiting
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