Skills › Deep Learning

CNN Architectures

Master convolutional networks — ResNet, EfficientNet, and transfer learning.

intermediate 🧬 Deep Learning
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After this skill you can…

  • Build a CNN image classifier in PyTorch
  • Apply transfer learning with ImageNet weights
  • Tune a ResNet for a custom dataset

Prerequisites

Watch (10 videos)

Deep Learning Full Course 2026 [FREE] | Deep Learning Tutorial | Deep Learning Course | Simplilearn
Simplilearn · beginner hands-on
→ Design convolutional neural networks→ Apply CNNs to image classification tasks
3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
MIT OpenCourseWare · advanced hands-on
→ Build Convolutional Neural Networks→ Implement Deep Learning models for Computer Vision→ Train neural networks from scratch
Lec 04. Architectures: Grids
MIT OpenCourseWare · beginner hands-on
→ Implement CNNs for image processing→ Optimize CNNs for computer vision tasks→ Design efficient CNN architectures
Complete AI/Machine Learning Course 2026 | GenAI + Multimodal Models | 12-Hour Live Class | Edureka
edureka! · beginner
→ Design CNN architectures→ Implement multimodal models
Deep Learning Interview Questions and Answers | Complete DL Interview Prep Guide
Analytics Vidhya · beginner
→ Design a CNN architecture→ Apply receptive fields and 1x1 convolutions
Deep Learning Engineer Salary 2026 | How Much A Deep Learning Engineer Earn | #Shorts | #Simplilearn
Simplilearn · advanced
→ Build convolutional neural networks→ Apply deep learning to image recognition→ Develop speech understanding systems
Convolutional Neural Networks (CNNs) - Explained
DataMListic · beginner
→ Build CNN models→ Implement convolution operations→ Design feature maps
Diffusion model (DDPM) PART 2 - Coding from scratch
Vizuara · beginner
→ Apply UNets to diffusion models→ Design neural network architectures for diffusion models
[GPU, LPU, TSU, TPU] Galactic Compute: All for a Banner Ad. JEPA, Transformers, Diffusers, EBMs, VAE
Byte Goose AI. · intermediate
→ Build convolutional neural networks→ Apply transfer learning→ Use pre-trained models
Stanford CS231N | Spring 2025 | Lecture 12: Self-Supervised Learning
Stanford Online · beginner
→ Design CNN architectures for self-supervised learning→ Optimize pretext tasks for computer vision applications

Read (10 articles)

📄
From Pixels to Deep Vision
Medium · Deep Learning · 2026-05-14
📄
Computer Vision Fundamentals: CNN Architectures
Medium · Deep Learning · 2026-05-08
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Neural Network Architectures
Medium · Deep Learning · 2026-04-13
📄
Neural Network Architectures
Medium · Machine Learning · 2026-04-13