Deep-learning-tutorial Libraries

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Deep-learning-tutorial Libraries

Machine Learning notebooks for refreshing concepts.

Helpful jupyter noteboks that I compiled while learning Machine Learning and Deep Learning from various sources on the Internet. Linear & Multiple Regression Logistic Regression Regularization

Complete path for a beginner to become a Machine Learning Scientist!

Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientist by skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a…

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

The algorithm transfers style from one input image (the style image) onto another input image (the content image) using CNN nets (usually VGG-16/19) and gives a composite, stylized image out which ke…

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

pytorch-naive-video-neural-style-transfer

Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.

The first video of the series was created exactly using this method (I also used ReCoNet for 1 part of the video). On the left you can see typical NST output and the 2 other images on the right were …

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