Day 20 - Pedestrian detection with Jetson Nano

Day 20 - Pedestrian detection with Jetson Nano

Day 17 - Image Segmentation with U-netПодробнее

Day 17 - Image Segmentation with U-net

Day 16 - YOLO for Object DetectionПодробнее

Day 16 - YOLO for Object Detection

Day 14 - Pretrained models overview - VGG, Resnet, F-CNN, U-netПодробнее

Day 14 - Pretrained models overview - VGG, Resnet, F-CNN, U-net

Day 15 - Brain Tumor Classification using Pretrained modelПодробнее

Day 15 - Brain Tumor Classification using Pretrained model

Day 13 - Hough line detection method for lanes detection from car front camera | PROJECTПодробнее

Day 13 - Hough line detection method for lanes detection from car front camera | PROJECT

Day 18 - Pytorch model to Tensorrt conversionПодробнее

Day 18 - Pytorch model to Tensorrt conversion

Day 19 - Object Detection with Jetson NanoПодробнее

Day 19 - Object Detection with Jetson Nano

Day 04 - Deep Learning Fundamentals, Introduction to Deep Learning | pantechelearningПодробнее

Day 04 - Deep Learning Fundamentals, Introduction to Deep Learning | pantechelearning

Day 03 - Introduction to CUDA (Compute Unified Device Architecture), CUDA memory hierarchyПодробнее

Day 03 - Introduction to CUDA (Compute Unified Device Architecture), CUDA memory hierarchy

Day 02 - Jetson Nano Basic Setup tutorial | pantechelearningПодробнее

Day 02 - Jetson Nano Basic Setup tutorial | pantechelearning

Day 01 - Introduction to NVIDIA, GPU Computing, Introduction to Jetson Nano | PantechelearningПодробнее

Day 01 - Introduction to NVIDIA, GPU Computing, Introduction to Jetson Nano | Pantechelearning

Day 05 - Introduction to deep learning frameworks (TensorFlow, PyTorch) with GPU supportПодробнее

Day 05 - Introduction to deep learning frameworks (TensorFlow, PyTorch) with GPU support

DAY 08 - Traffic sign classification using Deep learningПодробнее

DAY 08 - Traffic sign classification using Deep learning

DAY 07 - Convolutional Neural Networks (CNNs), CNN using TensorFlow and PyTorch.Подробнее

DAY 07 - Convolutional Neural Networks (CNNs), CNN using TensorFlow and PyTorch.