NEURAL NETWORK VISUALIZER
Deep Learning Fundamentals with Backpropagation
Forward propagation • Backpropagation • Real-time training • Multiple activation functions
NETWORK CONTROLS
NETWORK ARCHITECTURE
Input
Hidden
Output
TRAINING PARAMETERS
Slow
Fast
Quick
Thorough
DATASET SELECTION
TRAINING ACTIONS
NETWORK VISUALIZATION
Create network architecture to begin
Data Points
Training Data: 0 points
Training Metrics
● Loss
● Accuracy