Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you鈥檒l train and run machine learning models in any browser using TensorFlow.js. You鈥檒l learn techniques for handling data in the browser, and at the end you鈥檒l build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Introduction, A Conversation with Andrew Ng
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Skills You'll Learn
Deep Learning, Artificial Neural Networks, Tensorflow, Real Time Data, Data Processing, Computer Vision, JSON, Applied Machine Learning, Web Applications, Machine Learning, Image Analysis, Javascript
Reviews
4.8 (1,009 ratings)
- 5 stars82.25%
- 4 stars13.67%
- 3 stars2.57%
- 2 stars0.69%
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AZ
Mar 29, 2020
No doubt, the team of Deeplearning.AI is building best learning resources. We would love to get more and more resources for easy way learning from DeepLearning.AI Team. Thanks to all.
ZB
Dec 20, 2019
Awesome - elegant in its complex simplicity. Clear explanations, logical curriculum structure, nice and knowledgeable code examples. A must-complete course indeed!
From the lesson
Image Classification In the Browser
Taught By
Laurence Moroney
Instructor