EvoMind
ArchitectAdvanced

Deep Learning & Neural Network Architecture

CNNs, RNNs, Transformers, attention mechanisms, GANs. Implement architectures from papers and train on real datasets. This architect track is structured for adult learners who need practical, career-relevant depth without academic abstraction. Delivered as a live experience, the course combines guided milestones, implementation reviews, and applied exercises aligned with modern AI, engineering, and technical leadership work.

Price

$7,200

Tax included

Duration

12 weeks

Format

Live

Instructor

Victor Romero

Deep Learning & Neural Network Architecture

CNNs, RNNs, Transformers, attention mechanisms, GANs. Implement architectures from papers and train on real datasets.

Download Syllabus PDF

Course Plan

Syllabus

Refresh tensors, optimization, and training mechanics as a base for architecture work.

  • Gradients
  • Backpropagation
  • Optimization setup

Outcomes

Understand major neural network families and where each excels.
Implement modern architectures from papers with practical rigor.
Train deep models while managing optimization and generalization issues.
Evaluate architecture choices with technical confidence.

Includes

  • • 12 live weeks with architecture builds and paper-to-code labs.
  • • Annotated implementations for CNNs, RNNs, Transformers, and GANs.
  • • Training diagnostics and performance troubleshooting sessions.
  • • Research reading framework for translating papers into working systems.
Victor Romero

Instructor

Victor Romero

Victor researches deep learning systems and teaches advanced neural architectures through implementation, not hand-waving summaries.

Enrollment

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