Blog
Deep Learning
Fast AI course
DL Methods
Research
ML Techniques
ML Methods
Time series
Web
Web Development
Front End
Back End
Docker Containers
Tools
Software Tools
Python Libraries
Nbdev Automation
Computer Setup
Business
Business Doc
Ideas Doc
Other
Help
Report a Bug
Ask a Question
FAQ
Models Types
CNN - Convolutional Neural Networks
DeepLearning
Pytorch Basics
Pytorch Model Creation
Model Training Loop
Dataset and Dataloaders
Timm - Loading Models
TensorFlow
Save and Load
Transforms
Evaluation Metrics
Model Diagrams
Transfer Learning
Computer Vision
Image classification
Image Multi Classification
Object Detection
Semantic Segmentation
Instance Segmentation
Panoptic Segmentation
Models Types
FNN - Feedforward Neural Networks
CNN - Convolutional Neural Networks
RNN - Recurrent Neural Networks
LSTM - Long Short-Term Memory Networks
GRU - Gated Recurrent Unit
Autoencoders
GAN - Generative Adversarial Networks
Transformer Networks
RBM - Restricted Boltzmann Machines
DBN - Deep Belief Networks
Model Design
Simple MNIST NN from scratch
CNN
Resnet 18 from Scratch
Resnet 18 from FastAI
On this page
Alexnet
Resnet18
Edit this page
Report an issue
Models Types
CNN - Convolutional Neural Networks
CNN - Convolutional Neural Networks
Specialized neural networks for processing data with a grid-like topology, such as images. They use convolutional layers that apply filters to local regions of the input.
Alexnet
Resnet18
Back to top
FNN - Feedforward Neural Networks
RNN - Recurrent Neural Networks