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

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Day 1: Introduction to NVIDIA, GPU Computing, Introduction to Jetson Nano
Day 2: Jetson Nano Basic Setup tutorial
Day 3: Introduction to CUDA (Compute Unified Device Architecture), CUDA memory hierarchy
Day 4: Deep Learning Fundamentals, Introduction to Deep Learning.
Day 5: Introduction to deep learning frameworks (TensorFlow, PyTorch) with GPU support.
Day 6: Building and training a simple neural network using Pytorch and Tensorflow
Day 7: Convolutional Neural Networks (CNNs), CNN using TensorFlow and PyTorch.
Day 8: Traffic sign classification using Deep learning
Day 9: Introduction to Computer Vision and Basic Image Processing
Day 10: Image Smoothing, Edge Detection, and Morphology Techniques
Day 11: Advanced Image Segmentation and Thresholding Techniques
Day 12: Image Blending, Pyramids, and Feature Transform Techniques
Day 13: Sudoku Solver using OpenCV
Day 14: Pretrained models overview - VGG, Resnet, F-CNN, U-net
Day 15: Brain Tumor Classification using Pretrained model
Day 16: YOLO for Object Detection
Day 17: Image Segmentation with U-net
Day 18: Pytorch model to Tensorrt conversion
Day 19: Object Detection with Jetson Nano
Day 20: Pedestrian detection with Jetson Nano
Day 21: Building a autonomous vehicle with Deep learning, computer vision and Jetson Nano

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