Update README.md
Browse files
README.md
CHANGED
@@ -6,6 +6,7 @@ license: apache-2.0
|
|
6 |
## Overview
|
7 |
The MoE (Mixture of Experts) Car Model is a deep learning model designed for autonomous driving and vehicle behavior prediction. It leverages a Mixture of Experts architecture to optimize decision-making across different driving scenarios, improving efficiency and adaptability in real-world environments.
|
8 |
|
|
|
9 |
## Model Architecture
|
10 |
The MoE Car Model consists of the following key components:
|
11 |
|
@@ -83,4 +84,4 @@ with torch.no_grad():
|
|
83 |
- Integration with real-time sensor fusion
|
84 |
- Reinforcement learning fine-tuning
|
85 |
|
86 |
-
---
|
|
|
6 |
## Overview
|
7 |
The MoE (Mixture of Experts) Car Model is a deep learning model designed for autonomous driving and vehicle behavior prediction. It leverages a Mixture of Experts architecture to optimize decision-making across different driving scenarios, improving efficiency and adaptability in real-world environments.
|
8 |
|
9 |
+
## WARNING: THIS MAY SHOW UNSAFE AS THIS RUNS ResNET WHEN YOU USE THE MODEL
|
10 |
## Model Architecture
|
11 |
The MoE Car Model consists of the following key components:
|
12 |
|
|
|
84 |
- Integration with real-time sensor fusion
|
85 |
- Reinforcement learning fine-tuning
|
86 |
|
87 |
+
---
|