Multi-class object detection and bounding box regression with Keras, TensorFlow, and Deep Learning

https://www.pyimagesearch.com/2020/10/12/multi-class-object-detection-and-bounding-box-regression-with-keras-tensorflow-and-deep-learning/

JOIN: https://t.me/MachineLearning_Programming

Collection of books, papers, list of papers, blog or blog posts, articles.

1. https://github.com/marcofavorito/my-bookshelf/blob/master/bookshelf.tsv

2. https://t.me/MachineLearning_Programming

130 Machine Learning Projects Solved and Explained

https://medium.com/the-innovation/130-machine-learning-projects-solved-and-explained-605d188fb392

1. https://t.me/DeepLearning_ai

2. https://t.me/MachineLearning_Programming

Deep Learning Weekly

1. Industry
2. Mobile + Edge
3. Learning
4. Libraries & Code
5. Datasets
6. Papers & Publications

https://us16.campaign-archive.com/?u=de53bead690affb8e9a21de8f&id=0132de8f48

https://t.me/MachineLearning_Programming

10 Best and Free Machine Learning Courses, Online

https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html

1. https://t.me/DeepLearning_ai

2. https://t.me/MachineLearning_Programming

13 Exciting Python Projects on Github You Should Try Today [2020]

1. https://www.upgrad.com/blog/python-projects-on-github/

2. https://t.me/MachineLearning_Programming

Top 10 programming languages used by GitHub contributors

https://content.techgig.com/top-10-programming-languages-used-by-github-contributors/articleshow/79595283.cms

1. https://t.me/DeepLearning_ai

2. https://t.me/MachineLearning_Programming

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net

Join: https://t.me/DeepLearning_ai

Project Page:
https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

Paper:
https://arxiv.org/pdf/2012.09004.pdf


https://t.me/MachineLearning_Programming

MIT 6.S191 Introduction to Deep Learning 2021

Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

ERFNet: Efficient Residual Factorized ConvNet for
Real-time Semantic Segmentation [Cited by 452]

paper:
http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf

github [PyTorch]:
https://github.com/Eromera/erfnet_pytorch