75868.pdf
    4.9 MB
  Traffic Monitoring using an Object Detection Framework with Limited 
Dataset #Traffic_Monitoring #Paper #2021 @Machine_learn
  Dataset #Traffic_Monitoring #Paper #2021 @Machine_learn
[email protected]
    2.8 MB
  Road Traffic Condition Monitoring using 
Deep Learning #Traffic_Monitoring #Paper #2021 @Machine_learn
  Deep Learning #Traffic_Monitoring #Paper #2021 @Machine_learn
Al-qaness2021_Article_AnImprovedYOLO-basedRoadTraffi.pdf
    2.1 MB
  An improved YOLO-based road traffic monitoring system  #Traffic_Monitoring #Paper #2021 @Machine_learn
  Khazukov2020_Article_Real-timeMonitoringOfTrafficPa.pdf
    3.6 MB
  Real‑time monitoring of traffic parameters #Paper #2021 @Machine_learn
  Deep-Learning-with-PyTorch-Quick-Start-Guide (1).pdf
    6.4 MB
  Deep Learning with PyTorch Quick Start Guide 
Learn to train and deploy neural network models in Python
David Julian #Book #PyTorch @Machine_learn
  Learn to train and deploy neural network models in Python
David Julian #Book #PyTorch @Machine_learn
Distributed_Artificial_Intelligence_A_Modern_Approach_by_Satya_Prakash.pdf
    31.3 MB
  Distributed Artificial Intelligence 
A Modern Approach
Edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu Linh #Book @Machine_learn
A Modern Approach
Edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu Linh #Book @Machine_learn
❤1
  Machine Learning Using Python_Discover The World Of ML.pdf
    1.2 MB
  Discover the world of Machine Learning using Python 
algorithm analysis, ide and libraries. Projects focused on
beginners. #Book @Machine_learn
  algorithm analysis, ide and libraries. Projects focused on
beginners. #Book @Machine_learn
TensorFlow Model Optimization Toolkit — Collaborative Optimization API
https://blog.tensorflow.org/2021/10/Collaborative-Optimizations.html
@Machine_learn
  
  https://blog.tensorflow.org/2021/10/Collaborative-Optimizations.html
@Machine_learn
blog.tensorflow.org
  
  TensorFlow Model Optimization Toolkit — Collaborative Optimization API
  With collaborative optimization, the TensorFlow Model Optimization Toolkit can combine multiple techniques, like clustering, pruning and quantization.
  Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Github: https://github.com/ethz-asl/Learn-to-Calibrate
Paper: https://arxiv.org/abs/2109.14974v1
@Machine_learn
  
  Github: https://github.com/ethz-asl/Learn-to-Calibrate
Paper: https://arxiv.org/abs/2109.14974v1
@Machine_learn
GitHub
  
  GitHub - ethz-asl/Learn-to-Calibrate: We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial…
  We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial system calibration. - ethz-asl/Learn-to-Calibrate
  AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
@Machine_learn
  Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
@Machine_learn
1901.06032.pdf
    1.5 MB
  A Survey of the Recent Architectures of Deep Convolutional Neural Networks   #CNN #Paper #Survey @Machine_learn
  2004.15004.pdf
    8.4 MB
  CNN EXPLAINER: Learning Convolutional Neural Networks with Interactive Visualization           #CNN #book #Introduction #DL    @Machine_learn
  2004.02806.pdf
    3.7 MB
  A Survey of Convolutional Neural Networks: 
Analysis, Applications, and Prospects #CNN #Paper #Survey @Machine_learn
  Analysis, Applications, and Prospects #CNN #Paper #Survey @Machine_learn
s40537-021-00444-8.pdf
    7.3 MB
  Review of deep learning: concepts, CNN 
architectures, challenges, applications, future
directions #CNN #Survey #Paper @Machine_learn
  architectures, challenges, applications, future
directions #CNN #Survey #Paper @Machine_learn
با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa .  همچنین دوستانی که نیاز به مشاوره در رابطه با کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.
  Machine learning books and papers pinned «با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa .  همچنین دوستانی که نیاز به مشاوره در رابطه با کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.»