Intro to optimization in deep learning: Gradient Descent
An in-depth explanation of Gradient Descent, and how to avoid the problems of local minima and saddle points.
7 years ago
Ayoosh Kathuria
Currently, a research assistant at IIIT-Delhi working on representation learning in Deep RL. Ex - Mathworks, DRDO.
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Series: YOLO object detector in PyTorch
How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1
Tutorial on building YOLO v3 detector from scratch detailing how to create the network architecture from a configuration file, load the weights and designing input/output pipelines.
7 years ago
How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 2
Part 2 of the tutorial series on how to implement your own YOLO v3 object detector from scratch in PyTorch.
7 years ago
How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 3
Part 3 of the tutorial series on how to implement a YOLO v3 object detector from scratch in PyTorch.
7 years ago
How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 4
Part 4 of the tutorial series on how to implement a YOLO v3 object detector from scratch using PyTorch.
7 years ago
How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 5
Part 5 of the tutorial series on how to implement a YOLO v3 object detector from scratch using PyTorch.
7 years ago
