Create YOLOv3 using PyTorch from scratch (Part-6)
This post writes the training code of YOLOv3 and carries out some test training sessions on COCO 2014 dataset.
Tag neural-network
Create YOLOv3 using PyTorch from scratch (Part-5)
In this post we create a Dataset and a DataLoader class to load the COCO 2014 detection data.
Create YOLOv3 using PyTorch from scratch (Part-4)
In this post we create 3 essential tools in the object detection task: IoU (Intersection-over-Union), NMS (Non-Maximum suppression) and mAP (mean Average Precision).
Create YOLOv3 using PyTorch from scratch (Part-3)
In this post we load pre-trained weights for the YOLOv3 model and run some test inferences.
Create YOLOv3 using PyTorch from scratch (Part-2)
This post talks about reading and parsing the YOLOv3 config file and building a Darknet-53 model using PyTorch.
Create YOLOv3 using PyTorch from scratch (Part-1)
This is the start of a series on understanding and implementing the YOLOv3 model using PyTorch.
Understanding transposed convolutions in PyTorch
This post explains transposed convolution and relevant module arguments in PyTorch.
Create a convolutional neural network using numpy
In this post we put together all the building blocks covered in previous posts to create a convolution neural network, using numpy, and test it on the MNIST hand-written digits classification task.
Back-propagation in a convolution layer with numpy implementation
This post covers the derivations of back-propagation in a convolution layer, with numpy implementations.
2D and 3D pooling using numpy
This post covers the implementation of pooling layers in a convolutional neural network using numpy.