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

Pytorch implementation of Nueral Style transfer (by abhinav-TB)
Pytorch style-transfer Python Deeplearning
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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 coursera-deep-learning-specialization
3 112
9 2,703
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0.0 6.4
almost 3 years ago 22 days ago
Python Jupyter Notebook
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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.

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:

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

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

ada-conv-pytorch

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-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

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

AI-Art - PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

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

Neural-Style-Transfer vs image-super-resolution coursera-deep-learning-specialization vs cs231n Neural-Style-Transfer vs ada-conv-pytorch coursera-deep-learning-specialization vs stanford-CS229 Neural-Style-Transfer vs image-crop-analysis coursera-deep-learning-specialization vs deeplearning-notes Neural-Style-Transfer vs AI-Art 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