Tensorflow.JS crash course 2020 (OLD)
This course will give you a brief idea of understanding the flow of Tensorflow JS. I will go through all the steps needed in creating a basic neural network on the browser. Tensorflow JS will provide us with the basic pre-built function, that will help us in creating and using a browser to train 'Machine Learning' based models.
TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.
If you need more flexibility, eager execution allows for immediate iteration and intuitive debugging. For large ML training tasks, use the Distribution Strategy API for distributed training on different hardware configurations without changing the model definition.
TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications.
Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.
Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use.
A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster.
Who this course is for:
- Tensorflow JS developer
- Students who want to understand the fundamental concepts about tensorflowJS usage
If you're a student, who wants to learn everything by breaking. You are just like me. This is the reason I have become a teacher to make sure whatever I deliver; I break it down so that it can be easy to grab and learn.
I am always looking to learn and spread the knowledge. I have been blessed with best teachers, who became my role model.