TrafficMonitoring.zip
26.8 MB
vehicle Traffic monitoring #10Paper @Machine_learn
trafic classification.zip
71.1 MB
vehicle Traffic classification #38Paper @Machine_learn
با عرض سلام ما پكيج ٣٦ پروژه عملي با يادگيري عميق همراه با داكيومنت فارسي را براي دوستاني كه مي خواهند در اين حوزه به صورت عملي كار كنند تهيه كرديم سرفصل هاي اين پكيج به ترتيب زير مي باشند:
1-Deep Learning Basic
-01_Introduction
--01_How_TensorFlow_Works
--02_Creating_and_Using_Tensors
--03_Implementing_Activation_Functions
-02_TensorFlow_Way
--01_Operations_as_a_Computational_Graph
--02_Implementing_Loss_Functions
--03_Implementing_Back_Propagation
--04_Working_with_Batch_and_Stochastic_Training
--05_Evaluating_Models
-03_Linear_Regression
--linear regression
--Logistic Regression
-04_Neural_Networks
--01_Introduction
--02_Single_Hidden_Layer_Network
--03_Using_Multiple_Layers
-05_Convolutional_Neural_Networks
--Convolution Neural Networks
--Convolutional Neural Networks Tensorflow
--TFRecord For Deep learning Models
-06_Recurrent_Neural_Networks
--Recurrent Neural Networks (RNN)
2-Classification apparel
-Classification apparel double capsule
-Classification apparel double cnn
3-ALZHEIMERS USING CNN(ResNet)
4-Fake News (Covid-19 dataset)
-Multi-channel
-3DCNN model
-Base line+ Char CNN
-Fake News Covid CapsuleNet
5-3DCNN Fake News
6-recommender systems
-GRU+LSTM MovieLens
7-Multi-Domain Sentiment Analysis
-Dranziera CapsuleNet
-Dranziera CNN Multi-channel
-Dranziera LSTM
8-Persian Multi-Domain SA
-Bi-GRU Capsule Net
-Multi-CNN
9-Recommendation system
-Factorization Recommender, Ranking Factorization Recommender, Item Similarity Recommender (turicreate)
-SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering(surprise)
10-NihX-Ray
-optimized CNN on FullDataset Nih-Xray
-MobileNet
-Transfer learning
-Capsule Network on FullDataset Nih-Xray
هزينه اين پكيج ٥٠٠هزار مي باشد و صرفا هزينه تهيه ديتاست هاست.
جهت خريد مي توانيد با ايدي بنده در ارتباط باشيد
@Raminmousa
1-Deep Learning Basic
-01_Introduction
--01_How_TensorFlow_Works
--02_Creating_and_Using_Tensors
--03_Implementing_Activation_Functions
-02_TensorFlow_Way
--01_Operations_as_a_Computational_Graph
--02_Implementing_Loss_Functions
--03_Implementing_Back_Propagation
--04_Working_with_Batch_and_Stochastic_Training
--05_Evaluating_Models
-03_Linear_Regression
--linear regression
--Logistic Regression
-04_Neural_Networks
--01_Introduction
--02_Single_Hidden_Layer_Network
--03_Using_Multiple_Layers
-05_Convolutional_Neural_Networks
--Convolution Neural Networks
--Convolutional Neural Networks Tensorflow
--TFRecord For Deep learning Models
-06_Recurrent_Neural_Networks
--Recurrent Neural Networks (RNN)
2-Classification apparel
-Classification apparel double capsule
-Classification apparel double cnn
3-ALZHEIMERS USING CNN(ResNet)
4-Fake News (Covid-19 dataset)
-Multi-channel
-3DCNN model
-Base line+ Char CNN
-Fake News Covid CapsuleNet
5-3DCNN Fake News
6-recommender systems
-GRU+LSTM MovieLens
7-Multi-Domain Sentiment Analysis
-Dranziera CapsuleNet
-Dranziera CNN Multi-channel
-Dranziera LSTM
8-Persian Multi-Domain SA
-Bi-GRU Capsule Net
-Multi-CNN
9-Recommendation system
-Factorization Recommender, Ranking Factorization Recommender, Item Similarity Recommender (turicreate)
-SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering(surprise)
10-NihX-Ray
-optimized CNN on FullDataset Nih-Xray
-MobileNet
-Transfer learning
-Capsule Network on FullDataset Nih-Xray
هزينه اين پكيج ٥٠٠هزار مي باشد و صرفا هزينه تهيه ديتاست هاست.
جهت خريد مي توانيد با ايدي بنده در ارتباط باشيد
@Raminmousa
Machine learning books and papers pinned «با عرض سلام ما پكيج ٣٦ پروژه عملي با يادگيري عميق همراه با داكيومنت فارسي را براي دوستاني كه مي خواهند در اين حوزه به صورت عملي كار كنند تهيه كرديم سرفصل هاي اين پكيج به ترتيب زير مي باشند: 1-Deep Learning Basic -01_Introduction --01_How_TensorFlow_Works…»
Separating Birdsong in the Wild for Classification
http://ai.googleblog.com/2022/01/separating-birdsong-in-wild-for.html
@Machine_learn
http://ai.googleblog.com/2022/01/separating-birdsong-in-wild-for.html
research.google
Separating Birdsong in the Wild for Classification
Posted by Tom Denton, Software Engineer and Scott Wisdom, Research Scientist, Google Research Birds are all around us, and just by listening, we ca...
کتاب.pdf
11.5 MB
کتاب یادگیری ماشین و علم داده: مبانی، مفاهیم، الگوریتمها و ابزارها
دانلود نسخه pdf به صورت رایگان:
https://www.researchgate.net/profile/Milad-Vazan/publication/358263339_yadgyry_mashyn_w_lm_dadh_mbany_mfahym_algwrytmha_w_abzarha/links/61f90216007fb504472c5dc1/yadgyry-mashyn-w-lm-dadh-mbany-mfahym-algwrytmha-w-abzarha.pdf
@Machine_learn
دانلود نسخه pdf به صورت رایگان:
https://www.researchgate.net/profile/Milad-Vazan/publication/358263339_yadgyry_mashyn_w_lm_dadh_mbany_mfahym_algwrytmha_w_abzarha/links/61f90216007fb504472c5dc1/yadgyry-mashyn-w-lm-dadh-mbany-mfahym-algwrytmha-w-abzarha.pdf
@Machine_learn
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
Github: https://github.com/bobetocalo/bobetocalo_pami20
Paper: https://arxiv.org/pdf/2202.02299v1.pdf
Dataset: https://paperswithcode.com/dataset/aflw
@Machine_learn
Github: https://github.com/bobetocalo/bobetocalo_pami20
Paper: https://arxiv.org/pdf/2202.02299v1.pdf
Dataset: https://paperswithcode.com/dataset/aflw
@Machine_learn
🔝 Omnivore: A Single Model for Many Visual Modalities
Github: https://github.com/facebookresearch/omnivore
Code: https://github.com/facebookresearch/omnivore/blob/main/inference_tutorial.ipynb
Paper: https://arxiv.org/abs/2201.08377
Dataset: https://paperswithcode.com/dataset/epic-kitchens-100
@Machine_learn
Github: https://github.com/facebookresearch/omnivore
Code: https://github.com/facebookresearch/omnivore/blob/main/inference_tutorial.ipynb
Paper: https://arxiv.org/abs/2201.08377
Dataset: https://paperswithcode.com/dataset/epic-kitchens-100
@Machine_learn
❤3
Accurate Alpha Matting for Portrait Mode Selfies on Pixel 6
http://ai.googleblog.com/2022/01/accurate-alpha-matting-for-portrait.html
@Machine_learn
http://ai.googleblog.com/2022/01/accurate-alpha-matting-for-portrait.html
@Machine_learn
research.google
Accurate Alpha Matting for Portrait Mode Selfies on Pixel 6
Posted by Sergio Orts Escolano and Jana Ehman, Software Engineers, Google Research Image matting is the process of extracting a precise alpha matte...
👍1
A_LSTM_Method_for_Bitcoin_Price_Prediction_A_Case_Study_Yahoo_Finance.pdf
408.3 KB
A LSTM-Method for Bitcoin Price Prediction: A
Case Study Yahoo Finance Stock Market #Paper #cryptocurrency @Machine_learn
Case Study Yahoo Finance Stock Market #Paper #cryptocurrency @Machine_learn
👍2
Bitcoin_Price_Forecasting_via_Ensemble_based_LSTM_Deep_Learning.pdf
332.7 KB
Bitcoin Price Forecasting via Ensemble-based
LSTM Deep Learning Networks #Paper #cryptocurrency @Machine_learn
LSTM Deep Learning Networks #Paper #cryptocurrency @Machine_learn