EulerFoldDeep Learning Fundamentals
“A rigorous, ground-up exploration of Deep Learning designed for serious engineers. This course strips away the abstraction to expose the raw internals, teaching you how these systems actually operate at scale. You will build a powerful mental model that bridges theoretical concepts with immediate, production-ready applications.”
About this Course
What you'll learn
Neural Network Foundations
Develop an intuitive mental model for Neural Network Foundations by comprehensively studying perceptrons and activation functions and forward propagation and loss.
Optimization and Training
Dive deep into the internals of Optimization and Training by comprehensively studying gradient descent and backpropagation and advanced optimizers and regularization.
Convolutional Neural Networks
Dive deep into the internals of Convolutional Neural Networks by comprehensively studying convolutions and pooling and classic cnn architectures.
Advanced Computer Vision
Dive deep into the internals of Advanced Computer Vision by comprehensively studying object detection basics and transfer learning.
Sequence Models
Master the practical implementation of Sequence Models by comprehensively studying recurrent neural networks (rnns) and lstms and word embeddings.
Transformers and Generative Models
Develop an intuitive mental model for Transformers and Generative Models by comprehensively studying attention mechanisms and transformers and introduction to generative models.
Learn
Watch curated videos and read study resources
Practice
Practice what you learned
Build Projects
Build projects using your new gained knowledge
Submit & Verify
Submit your project and get verified by our system
References
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