CNN Architectures
Master convolutional networks — ResNet, EfficientNet, and transfer 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)
Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3
→ Build a CNN model for image classification→ Train a neural network to identify objects
Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure
→ Design and implement 1D CNN architectures
Implement 1D convolution, part 1: Convolution in Python from scratch
→ Implement 1D convolution in Python→ Build convolutional neural networks from scratch
Resizing Data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.4
→ Preprocess 3D medical imaging data→ Implement 3D convolutional neural networks→ Resize data for neural networks
State of the Art Convolutional Neural Networks (CNNs) Explained | Deep Learning in 2020
→ Implement DenseNet architecture→ Build state-of-the-art CNN models
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]
→ Build a CNN model with Python→ Implement convolutional layers
Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12
→ Build a Convolutional Neural Network with TensorFlow→ Understand how CNNs work
Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks (Part 1) [Stat453, SS20]
→ Build a CNN model with PyTorch→ Implement image classification with CNNs
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)
→ Build an image classification model with CNNs→ Implement filters and pooling in a neural network
L14.3: Architecture Overview
→ Design CNN architectures→ Implement deep learning models
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