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Deep Learning and PyTorch Introduction Video Tutorial with Source Code
...They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph convolutional networks, and transfer learning. The repository is designed for learners who want to connect deep learning concepts with executable examples. Overall, it is a structured PyTorch practice resource for beginners and early deep learning practitioners.
Deeplearning based model for home security.. attach a webcam run this
...It has been tested on ubuntu 15.04/16.04 OS on AMD64 and ARM architecture. The software is distributed under APACHE licence (see licence).
The standalone binary executable requires minimal external dependencies as the libraries such as tensorflow, openCV, pygame and others are linked within the software. The software works by capturing the image using inbuilt/USB powered webcam, comparing the subsequent images for pixel differences and piping the image through deep learning algorithm. Once the object of interest(human in present case) is detected, the software attempts to send email with image as an attachment to the designated email ids. ...