inceptionnext
InceptionNeXt is a deep learning model integrating the benefits of Inception and ConvNeXt architectures, offering enhanced speed through innovative large kernel depthwise convolution decomposition. Models like InceptionNeXt-T combine the speed of ResNet-50 with the accuracy of ConvNeXt-T. Trained on ImageNet-1K with PyTorch, it provides various models with different parameters and performances. The model supports NVIDIA CUDA and is designed for effective training and inference, making it suitable for efficient image processing and recognition tasks.
