The model atlas
Capabilities · access · specificationsGoogleNet
by GoogleGoogleNet (Inception v1) is a deep convolutional neural network architecture that won the ImageNet 2014 competition. It introduced the Inception module, which performs convolutions at multiple scales simultaneously, achieving high accuracy with computational efficiency.
This directory profile records specifications, not a hands-on review. Availability and pricing may have changed since it was added.
How we assess AI tools · Check the provider’s current documentation and prices
Specifications
- Released
- September 2014
Capabilities
Best For
Rate this model
Click to rate this AI model
Related Models
Gemini 2.0 Flash
1000K ctxby Google
Google's latest multimodal model with native tool use, code execution, and agentic capabilities. Fast and efficient.
Gemini 1.5 Pro
2000K ctxby Google
Mid-size multimodal model optimized for complex reasoning and long context tasks with up to 2M token context.
Gemini 2.0 Flash Thinking
1000K ctxby Google
Experimental reasoning model that shows its thought process. Optimized for complex multi-step problems and explanations.
Imagen 3
0by Google
Google's highest quality text-to-image model with exceptional photorealism and prompt understanding.