Playing Atari with Six Neurons
Cuccu et al.: https://arxiv.org/abs/1806.01363
#MachineLearning #ArtificialIntelligence #NeuralComputing

NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder

Full Stack Deep Learning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning

Deriving Differential Target Propagation from Iterating Approximate Inverses
Yoshua Bengio : https://arxiv.org/abs/2007.15139
#ArtificialIntelligence #DeepLearning #MachineLearning

Analyses of Deep Learning (STATS 385)
Stanford University, Fall 2019 : https://stats385.github.io/lecture_videos
#ArtificialIntelligence #DeepLearning #MachineLearning

The Deep Learning Lecture Series
A collaboration between DeepMind and the UCL Centre for Artificial Intelligence : https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

Deep Reinforcement Learning
CS 285 at UC Berkeley, Fall 2020
Levine et al.: https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

Efficient Transformers: A Survey
Tay et al.: https://arxiv.org/abs/2009.06732
#Transformer #DeepLearning #ArtificialIntelligence

Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
GitHub by Marimuthu Kalimuthu: https://github.com/kmario23/deep-learning-drizzle
#artificialintelligence #deeplearning #reinforcementlearning

Deep learning-enabled medical computer vision

#deeplearning #machinelearning #artificialintelligence #computervision #healthcare #medicalimaging #radiologists #radiology
https://www.nature.com/articles/s41746-020-00376-2

Deep Learning in Life Sciences
by Massachusetts Institute of Technology (MIT)

Course Site: https://mit6874.github.io/

Lecture Videos: https://youtube.com/playlist?list=PLypiXJdtIca5ElZMWHl4HMeyle2AzUgVB

We will explore both conventional and deep learning approaches to key problems in the life sciences, comparing and contrasting their power and limits. Our aim is to enable you to evaluate a wide variety of solutions to key problems you will face in this rapidly developing field, and enable you to execute on new enabling solutions that can have large impact.
As part of the subject you will become an expert in using modern cloud resources to implement your solutions to challenging problems, first in problem sets that span a carefully chosen set of tasks, and then in an independent project.
You will be programming using Python 3 and TensorFlow 2 in Jupyter Notebooks on the Google Cloud, a nod to the importance of carefully documenting your work so it can be precisely reproduced by others.

#artificialintelligence #deeplearning #tensorflow #python #biology #lifescience

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

Kim et al.: https://arxiv.org/abs/2102.03334

#ArtificialIntelligence #DeepLearning #MachineLearning

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

Reinforcement Learning Course at ASU, Spring, 2021
Dimitri Bertsekas: https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

Coding TensorFlow
Laurence Moroney: https://www.youtube.com/playlist?list=PLQY2H8rRoyvwLbzbnKJ59NkZvQAW9wLbx
#ArtificialIntelligence #DeepLearning #Tensorflow

Stanford CS330: Multi-Task and Meta-Learning, 2019

Lecture videos, Finn et al.: http://youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5

#ArtificialIntelligence #DeepLearning #MetaLearning

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

Explaining Deep Neural Networks

Oana-Maria Camburu: https://arxiv.org/abs/2010.01496

#ArtificialIntelligence #DeepLearning #NeuralNetworks

YOLOP: You Only Look Once for Panoptic Driving Perception

Wu et al.: https://arxiv.org/abs/2108.11250

#ArtificialIntelligence #DeepLearning #MachineLearning

2021 DeepMind x UCL Reinforcement Learning Lecture Series
Taught by DeepMind researchers, this series was created in collaboration with University College London (UCL) to offer students a comprehensive introduction to modern reinforcement learning.
Playlist
https://youtube.com/playlist?list=PLki3HkfgNEsKiZXMoYlR-14r1t_MAS7M8
https://youtu.be/_DpLWBG_nvk
#MachineLearning #artificialintelligence #deeplearning #computervision #MontrealAI