Notebooks of programming assignments of CNN course of deeplearning.ai on coursera in September-2019

Implementation notebooks and scripts of Artistic CNN Models and Generative Models like GANs, VAEs, GMMs, Boltzmann Machine etc. in TensorFlow, and Python. This repo aims to understand and make amazing things out of Neural Network layers.

A notebook implementation which uses VGG19 for Neural style transfer using Deep Learning.

An AI algorithm to stylize one image with another. Repository consists of two notebooks: basic NST implementation from scratch and Fast-NST pre-defined sample code for comparison.

🖌️ This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm

What follows are Python Programs in addition to Jupyter Notebook Examples that were referenced throughout the Udacity - AI Programming with Python Curriculum

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

This repository includes assignment and projects for the course Convoluational Neural Network which is a part of Deep Learning Specialization from Coursera. Notebook files includes how to deal with concepts of CNN without using any tool. Also, has Jupyter notebooks for object detection, Neural Style Transfer, Face detection. Keras framework has …

Implementation of Neural Style Transfer based on the original paper by Gatys et al., with adaptations from Deep Learning with Python by François Chollet. This notebook allows you to experiment with style transfer, content reconstruction, and style reconstruction to explore and gain a deeper understanding of how Neural Style Transfer (NST) works.

What follows is a second set of Python Programs with more emphasis on Jupyter Notebook and Pytorch Examples that were referenced throughout the Udacity - AI Programming with Python Curriculum