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CNN course

4.5/5
CNN course
4.5 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This focused CNN course guides you in creating dependable image recognition models, starting from raw data preparation up to full deployment. Key areas include examining datasets, effective data preprocessing and enhancement, creating initial CNN architectures, fine-tuning parameters, and thorough performance assessment. You will then boost results using transfer learning methods, optimization strategies, error investigation, model explanation techniques, and structured reporting to ensure repeatable and deployable outcomes.

Elevify advantages

Develop skills

  • Develop strong CNN data pipelines with intelligent resizing, augmentation, and caching.
  • Create and train effective baseline CNNs using optimized hyperparameters, evaluation metrics, and model checkpoints.
  • Implement transfer learning by adapting ResNet and EfficientNet backbones for quick performance gains.
  • Analyze and fix CNN errors using tools like Grad-CAM, confusion matrices, and precise corrections.
  • Optimize models for production with drift detection, ONNX/TensorRT export, and comprehensive reporting.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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