Object-Detection: 40 FPS on Jetson Nano with TensorRT.
The Jetson Nano is low powered but equipped with an NVIDIA GPU. NVIDIA TensorRT can be used to optimize neural networks for the GPU achieving enough performa...
Recent Posts
CNN Saliency with Grad-CAM
Gradient-weighted Class Activation Mapping (Grad-CAM) is a technique for making Convolutional Neural Network (CNN)-based models explainable by visualizing th...
Cancer CNN Validation and Analysis
In this post we compare the performance of the CNN cancer detection models that we trained previously. The results show that the performance of our custom mo...
Cancer CNN Training Walkthrough
In previous posts we have reviewed the development of CNN architectures over the last decade and even defined our own custom architecture. In this post we tr...
Custom Cancer Detection CNN
Medical Imaging is one of the major applications of ML and the clinically-relevant task of metastatic breast cancer detection can be framed as a straight-for...