Deep Learning Algorithms - The Complete Guide
https://theaisummer.com/Deep-Learning-Algorithms/
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! ❤️
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
https://theaisummer.com/Deep-Learning-Algorithms/
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! ❤️
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
AI Summer
Deep Learning Algorithms - The Complete Guide | AI Summer
All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing
MoVi: A Large Multipurpose Motion and Video Dataset
https://www.profillic.com/paper/arxiv:2003.01888
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! ❤️
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
https://www.profillic.com/paper/arxiv:2003.01888
All you need related to Machine Learning is here!!!
Grab it, Store it and share it!!!
Enjoy!!! ❤️
Instagram: @artificialintelligence_ml
YouTube: https://www.youtube.com/channel/UClHa8jp3wofpqlJsTmuXurg
Telegram: https://t.me/Artificial_intelligence_AI
CatalyzeX
MoVi: A Large Multipurpose Motion and Video Dataset: Paper and Code
MoVi: A Large Multipurpose Motion and Video Dataset. Click To Get Model/Code. Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from…
Artificial Intelligence pinned «Getting started with AI and ML: Roadway: Watch this video to start now: https://youtu.be/p8IohflXesU»
This media is not supported in your browser
VIEW IN TELEGRAM
What else we can expect from AI? Imagine their happiness!!!
Inteliment is #Hiring for #Freshers.
We are looking at young talent who aspire to build a career in #Analytics & #DataScience.
Mega #Drive on Sat, 14th March 2020 at #Pune.
Apply urgently on the below details
source: https://www.linkedin.com/posts/manalikulkarni_hiring-freshers-analytics-activity-6643367627135770624-EQET
We are looking at young talent who aspire to build a career in #Analytics & #DataScience.
Mega #Drive on Sat, 14th March 2020 at #Pune.
Apply urgently on the below details
source: https://www.linkedin.com/posts/manalikulkarni_hiring-freshers-analytics-activity-6643367627135770624-EQET
Linkedin
Manali Kulkarni on LinkedIn: #Hiring #Freshers #Analytics | 207 comments
Thank you all for your response !
We have completed the targets for the drive on Sat, 14th Mar.
We will be processing the remaining responses I our ... 207 comments on LinkedIn
We have completed the targets for the drive on Sat, 14th Mar.
We will be processing the remaining responses I our ... 207 comments on LinkedIn
This media is not supported in your browser
VIEW IN TELEGRAM
This is insane!!! What AI can do!!!
Forwarded from Artificial Intelligence
Yesterday Google AI has also released a blog on ELECTRA
https://ai.googleblog.com/2020/03/more-efficient-nlp-model-pre-training.html?m=1
https://ai.googleblog.com/2020/03/more-efficient-nlp-model-pre-training.html?m=1
research.google
More Efficient NLP Model Pre-training with ELECTRA
Posted by Kevin Clark, Student Researcher and Thang Luong, Senior Research Scientist, Google Research, Brain Team Recent advances in language pre-t...
Forwarded from Artificial Intelligence
Look into this:
Facebook's wav2letter++ is SOTA
https://github.com/facebookresearch/wav2letter
DeepMind's WaveNet
https://github.com/buriburisuri/speech-to-text-wavenet
Benchmarking cloud and other APIs:
https://github.com/Picovoice/speech-to-text-benchmark
Facebook's wav2letter++ is SOTA
https://github.com/facebookresearch/wav2letter
DeepMind's WaveNet
https://github.com/buriburisuri/speech-to-text-wavenet
Benchmarking cloud and other APIs:
https://github.com/Picovoice/speech-to-text-benchmark
GitHub
GitHub - flashlight/wav2letter: Facebook AI Research's Automatic Speech Recognition Toolkit
Facebook AI Research's Automatic Speech Recognition Toolkit - flashlight/wav2letter
Great way to explain AI trough python and R
link: https://lnkd.in/fV36Jfp
Credit: Francesco Pochetti
Data Science Process https://lnkd.in/fMHtxYP
Data Visualization in Business https://lnkd.in/fYUCzgC
Understand How to answer Why https://lnkd.in/f396Dqg
Know Machine Learning Key Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning Applications on Marketing https://lnkd.in/fUDGAQW
Machine Learning Applications on Retail https://lnkd.in/fihPTJf
#machinelearning #datascience #artificialintellgence
link: https://lnkd.in/fV36Jfp
Credit: Francesco Pochetti
Data Science Process https://lnkd.in/fMHtxYP
Data Visualization in Business https://lnkd.in/fYUCzgC
Understand How to answer Why https://lnkd.in/f396Dqg
Know Machine Learning Key Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning Applications on Marketing https://lnkd.in/fUDGAQW
Machine Learning Applications on Retail https://lnkd.in/fihPTJf
#machinelearning #datascience #artificialintellgence
Francescopochetti
Whitening a black box: how to interpret a ML model
Introduction
I find the domain of interpretable ML incredibly fasci
I find the domain of interpretable ML incredibly fasci
Imbalanced Multiclass Classification with the Glass Identification Dataset
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
GitHub
GitHub - HRNet/HigherHRNet-Human-Pose-Estimation: This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale…
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)...
Rethinking Image Mixture for Unsupervised Visual Representation Learning
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
GitHub
szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Rethinking Image Mixture for Unsupervised Visual Representation Learning - szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Neural Baseline and GECA for Grounded SCAN
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
GitHub
GitHub - LauraRuis/multimodal_seq2seq_gSCAN: The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN…
The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper. - LauraRuis/multimodal_seq2seq_gSCAN