Build on your existing knowledge with intermediate audio classification techniques and real-world applications.
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Comfortable coding and debugging
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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
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)
Learn What is YOLO algorithm? | Deep Learning Tutorial 31 (TensorFlow, Keras & Python)
A visual introduction to neural networks and deep learning. This series explains the fundamentals of neural networks with beautiful animations and intuitive explanations.
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Build on your existing knowledge with intermediate audio classification 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; Master fundamental concepts and terminology; Apply theoretical knowledge to practical projects; Build portfolio-worthy projects demonstrating your skills.
About 5 hours of study across 7 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
7 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.