Build on your existing knowledge with intermediate google cloud vision api techniques and real-world applications.
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Not typically required
Confident developer; infrastructure scripting
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IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
But what is a neural network? | Deep learning chapter 1
The Essential Main Ideas of Neural Networks
Learn What is YOLO algorithm? | Deep Learning Tutorial 31 (TensorFlow, Keras & Python)
Transformers Explained - How transformers work
Illustrated Guide to Transformers Neural Network: A step by step explanation
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
Explore related content to expand your skills beyond this learning path.
Build on your existing knowledge with intermediate google cloud vision api techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Deploy ML models on cloud platforms; Use managed ML services effectively; Design scalable ML architectures.
About 2 hours of study across 6 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
6 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.