ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Kim et al.: https://arxiv.org/abs/2102.03334
#ArtificialIntelligence #DeepLearning #MachineLearning
Kim et al.: https://arxiv.org/abs/2102.03334
#ArtificialIntelligence #DeepLearning #MachineLearning
Datasets for days:
By domain ⬇️ https://datasetlist.com
By application ⬇️
https://github.com/awesomedata/awesome-public-datasets
Via search engine ⬇️
https://datasetsearch.research.google.com
By domain ⬇️ https://datasetlist.com
By application ⬇️
https://github.com/awesomedata/awesome-public-datasets
Via search engine ⬇️
https://datasetsearch.research.google.com
Datasetlist
Dataset list - A list of datasets and annotation tools
A list of datasets and annotation tools for machine learning from across the web.
Google AI Introduces ‘Model Search’: An Open Source Platform For Finding Optimal Machine learning (ML) Models
https://www.marktechpost.com/2021/02/28/google-ai-introduces-model-search-an-open-source-platform-for-finding-optimal-machine-learning-ml-models/
Github: https://github.com/google/model_search
https://www.marktechpost.com/2021/02/28/google-ai-introduces-model-search-an-open-source-platform-for-finding-optimal-machine-learning-ml-models/
Github: https://github.com/google/model_search
MarkTechPost
Google AI Introduces 'Model Search': An Open Source Platform For Finding Optimal Machine learning (ML) Models
New free Deep Learning course from MIT
https://introtodeeplearning.com/
https://introtodeeplearning.com/
MIT Deep Learning 6.S191
MIT's introductory course on deep learning methods and applications
Better Than Capsules? Geoffrey Hinton’s GLOM Idea Represents Part-Whole Hierarchies in Neural Networks
@ArtificialIntelligenceArticles
https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/
@ArtificialIntelligenceArticles
https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/
Synced | AI Technology & Industry Review
Better Than Capsules? Geoffrey Hinton’s GLOM Idea Represents Part-Whole Hierarchies in Neural Networks | Synced
A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image.
2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school.
CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Berkeley CS182/282 Deep Learnings - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh\
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
#MachineLearning #artificialintelligence #deeplearning #computervision #MontrealAI
CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Berkeley CS182/282 Deep Learnings - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh\
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
#MachineLearning #artificialintelligence #deeplearning #computervision #MontrealAI
https://towardsdatascience.com/geometric-foundations-of-deep-learning-94cdd45b451d
Geometric foundations of Deep Learning | by Michael Bronstein | Apr, 2021 | Towards Data Science
Geometric foundations of Deep Learning | by Michael Bronstein | Apr, 2021 | Towards Data Science
Medium
Geometric foundations of Deep Learning
Geometric Deep Learning is an attempt to unify a broad class of ML problems from the perspectives of symmetry and invariance.
Mask R-CNN for Object Detection in Keras
Use Keras to build the Mask R-CNN model for object detection and segmentation
https://youtu.be/c1xCaw1tcQQ
Use Keras to build the Mask R-CNN model for object detection and segmentation
https://youtu.be/c1xCaw1tcQQ
YouTube
Mask R-CNN for Object Detection
This video covers how to get set up and running with Mask R-CNN for object detection with Keras.
You can find the full code and run it on a free GPU here:
https://ml-showcase.paperspace.com/projects/object-detection-with-mask-r-cnn
Presented by Machine…
You can find the full code and run it on a free GPU here:
https://ml-showcase.paperspace.com/projects/object-detection-with-mask-r-cnn
Presented by Machine…
Reinforcement Learning Course at ASU, Spring, 2021
Dimitri Bertsekas: https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Dimitri Bertsekas: https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
YouTube
Reinforcement Learning Course at ASU, Spring, 2021
Share your videos with friends, family, and the world
Coding TensorFlow
Laurence Moroney: https://www.youtube.com/playlist?list=PLQY2H8rRoyvwLbzbnKJ59NkZvQAW9wLbx
#ArtificialIntelligence #DeepLearning #Tensorflow
Laurence Moroney: https://www.youtube.com/playlist?list=PLQY2H8rRoyvwLbzbnKJ59NkZvQAW9wLbx
#ArtificialIntelligence #DeepLearning #Tensorflow
YouTube
Coding TensorFlow
Welcome to Coding TensorFlow! In this series, we will look at various parts of TensorFlow from a coding perspective. Subscribe to TensorFlow → https://goo.gl...
CS224W: Machine Learning with Graphs
Stanford / Winter 2021 [slides] pdf
https://web.stanford.edu/class/cs224w/
#machinelearning #graphs
Stanford / Winter 2021 [slides] pdf
https://web.stanford.edu/class/cs224w/
#machinelearning #graphs
Stanford CS330: Multi-Task and Meta-Learning, 2019
Lecture videos, Finn et al.: https://youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5
#ArtificialIntelligence #DeepLearning #MetaLearning
Lecture videos, Finn et al.: https://youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5
#ArtificialIntelligence #DeepLearning #MetaLearning
YouTube
Stanford CS330: Deep Multi-Task and Meta Learning
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
Teney et al.: https://arxiv.org/abs/2105.05612
#MachineLearning #DeepLearning #ArtificialIntelligence
Teney et al.: https://arxiv.org/abs/2105.05612
#MachineLearning #DeepLearning #ArtificialIntelligence