Artificial Intelligence && Deep Learning

2021-03-01 19:47:06 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! Open / Comment

2021-01-26 05:31:52 500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲

500 AI Machine learning Deep learning Computer vision NLP Projects with code

This list is continuously updated. - You can take pull request and contribute.

https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

https://t.me/DeepLearning_ai

https://t.me/MachineLearning_Programming Open / Comment

2021-01-25 03:23:13 Good day dear subscribers.
Today, 25th January, our community are already more than 30K.
Within these years we learn or still learning more about specific topics through channel.
I try my best to provide, keep going with contemporary knowledge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and stay with us and invite your friends (https://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks

@ShohruhRakhmatov Open / Comment

2021-01-20 03:27:47 Hierarchical Multi-Scale Attention for Semantic Segmentation

PyTorch implementation
Github: https://github.com/NVIDIA/semantic-segmentation

Video:



Paper: https://arxiv.org/abs/2005.10821

Method Details: https://www.cityscapes-dataset.com/method-details/?submissionID=7836 Open / Comment

2021-01-20 03:27:36 Multi-scale inference is commonly used to improve the results of semantic segmentation. combining multi-scale predictions. it to be roughly 4x more memory efficient to train than other recent approaches. In addition to enabling faster training, this allows us to train with larger crop sizes which leads to greater model accuracy. Open / Comment

2021-01-12 03:12:46 The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

Join: https://t.me/DeepLearning_ai Open / Comment

2020-12-28 04:05:39 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 Open / Comment

2020-12-28 04:05:02 Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net Open / Comment

2020-12-21 03:33:31 Real-Time Lane Detection and alerts for Autonomous Driving

medium: https://towardsdatascience.com/real-time-lane-detection-and-alerts-for-autonomous-driving-1f0a021390ee

paper: https://arxiv.org/pdf/1807.01726.pdf

github repo: https://github.com/MaybeShewill-CV/lanenet-lane-detection

Join: https://t.me/DeepLearning_ai Open / Comment

2020-12-21 03:33:20 Lane-Detection Open / Comment