Deep Learning for the Web using TensorFlow.js
Get hands-on experience with deep learning using JavaScript and expand your knowledge of building, training, and running machine learning models in the browser using the latest version of TensorFlow.js.
What you will learn:
- Introduction to Deep Learning and Neural Networks
- Introduction to TensorFlow.js
- Tensors: uses and types
- Models: saving and loading a model
- UI: creating the UI; visualizing predictions
- Classifiers: binary and multi-class
- Adding a toxicity model classifier to a chat app for moderation
- Preparing the data, designing, training, and testing models
- Extending pre-trained models
- Working with images: convolutions and image classification
- Adding automatic image captioning to a web app using MobileNet
- Deployment and performance: bundle optimizations
- Bonus: Natural Language Processing and AI Assistants
Who is the target audience?
Anyone who wants to integrate machine learning into their apps or websites using JavaScript. No previous experience with machine learning is necessary.
Requirements:
You should be comfortable with JavaScript and have at least basic knowledge of HTML and CSS.
Gerard Sans
Google Developer Expert; former AWS Amplify team
Gerard Helps Developers succeed in Artificial Intelligence and Web3; He is very excited about the future of the Web and JavaScript. Always happy Computer Science Engineer and humble Google Developer Expert. He loves to share his learnings by giving talks, training and writing about cool technologies. He loves running Web3 London, GraphQL London, GraphQL San Francisco, mentoring students and giving back to the community.
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