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

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

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)
Deep Learning Coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
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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)
Deep Learning neural-network neural-style-transfer neural-style Computer Vision Image processing image-manipulation image-analysis
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coursera-deep-learning-specialization neural-style-transfer
112 1
2,703 1
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6.4 3.6
24 days ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
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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.

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!

What are some alternatives?

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

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

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]

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

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

coursera-deep-learning-specialization vs cs231n neural-style-transfer vs image-crop-analysis coursera-deep-learning-specialization vs stanford-CS229 neural-style-transfer vs image-super-resolution coursera-deep-learning-specialization vs deeplearning-notes coursera-deep-learning-specialization vs Emotion_Detection_CNN_keras coursera-deep-learning-specialization vs start-machine-learning coursera-deep-learning-specialization vs stanford-cs229 coursera-deep-learning-specialization vs Soevnn coursera-deep-learning-specialization vs Respiratory-Disease-Coughing-Dataset-CNN coursera-deep-learning-specialization vs Machine-Learning-Specialization-Coursera coursera-deep-learning-specialization vs NeuralTextToImage