Almost 20 image classification CNN networks implementation using Pytorch (github.com (https://github.com/weiaicunzai/pytorch-cifar100))
GitHub
GitHub - weiaicunzai/pytorch-cifar100: Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception…
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet...
A High-level Guide to Natural Language Processing Techniques
https://towardsdatascience.com/a-high-level-guide-to-natural-language-processing-techniques-81509a2f14b3
https://towardsdatascience.com/a-high-level-guide-to-natural-language-processing-techniques-81509a2f14b3
Towards Data Science
A High-level Guide to Natural Language Processing Techniques
Natural Language Processing or NLP is of the hottest areas of AI today. NLP is a sub-field of Artificial Intelligence that is focused on…
A Keras Pipeline for Image Segmentation
Full explanation with code
https://towardsdatascience.com/a-keras-pipeline-for-image-segmentation-part-1-6515a421157d
Full explanation with code
https://towardsdatascience.com/a-keras-pipeline-for-image-segmentation-part-1-6515a421157d
Medium
A Keras Pipeline for Image Segmentation
There are hundreds of tutorials on the web which walk you through using Keras for your image segmentation tasks. These are extremely…
Over 200 of the Best Machine Learning, NLP, and Python Tutorials - 2018 Edition
https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc
https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc
Medium
Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition
There are dozens of new tutorials on both traditional machine learning concepts and cutting-edge techniques.
Highlight Action Area in Soccer using Tensorflow
Doing cool things with data!
https://towardsdatascience.com/highlight-action-area-in-soccer-using-tensorflow-1c59d644b404
Doing cool things with data!
https://towardsdatascience.com/highlight-action-area-in-soccer-using-tensorflow-1c59d644b404
Medium
Highlight Action Area in Soccer using Tensorflow
Doing cool things with data!
The best of GAN papers in the year 2018
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
https://gandissect.csail.mit.edu/
https://gandissect.csail.mit.edu/
gandissect.csail.mit.edu
GAN Dissection
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
AUTOMATE THE BORING STUFF WITH PYTHON
Everyone in the 21st century needs to learn to code, right? But not everyone needs to become a software engineer or computer scientist. Automate the Boring Stuff with Python is written for office workers, students, administrators, and anyone who uses a computer how to write small, practical programs to automate tasks on their computer.
You don't need to know all the complexities of algorithms and syntax, you just want to write basic programs to automate mundane computer tasks. In the process, even total beginners will learn to use Python to control their computers without having to learn complex information about computer science. This is a practical programming guide for the rest of us.
Everyone in the 21st century needs to learn to code, right? But not everyone needs to become a software engineer or computer scientist. Automate the Boring Stuff with Python is written for office workers, students, administrators, and anyone who uses a computer how to write small, practical programs to automate tasks on their computer.
You don't need to know all the complexities of algorithms and syntax, you just want to write basic programs to automate mundane computer tasks. In the process, even total beginners will learn to use Python to control their computers without having to learn complex information about computer science. This is a practical programming guide for the rest of us.