neural-style-transfer VS coursera-deep-learning-specialization

Compare neural-style-transfer vs coursera-deep-learning-specialization and see what are their differences.

neural-style-transfer

:paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm (by egesabanci)

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models (by amanchadha)
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neural-style-transfer coursera-deep-learning-specialization
1 112
1 2,679
- -
3.6 4.7
almost 3 years ago 12 days ago
Jupyter Notebook Jupyter Notebook
MIT License -
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neural-style-transfer

Posts with mentions or reviews of neural-style-transfer. We have used some of these posts to build our list of alternatives and similar projects.
  • Neural Style Transfer in a Most Simple Way
    1 project | dev.to | 17 Jun 2021
    OK, I will let you see the code in a second but I want to give some instructions before starting. I will continue to explain the "Neural Style Transfer" implementation that I have made (You can access the codes from this link). We will continue with the codes and the mathematical background of the algorithm at the same time. So, don't be confused! Please stay on the right track, Sir!

coursera-deep-learning-specialization

Posts with mentions or reviews of coursera-deep-learning-specialization. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing neural-style-transfer and coursera-deep-learning-specialization you can also consider the following projects:

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image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Soevnn - A neural net with a terminal-based testing program.

Respiratory-Disease-Coughing-Dataset-CNN - A collection of coughing audio files from Coswara, Coughvid, and Virufy as well as generated spectrograms for the use of machine learning

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

NeuralTextToImage - Colabs for text prompt steered image generators