تنسورفلو هم برای ویندوز رسید .
پشتیبانی کامل از کارت گرافیک و قابل نصب در ویندوز ۷ ۱۰ و سرور2016 :
https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html
پشتیبانی کامل از کارت گرافیک و قابل نصب در ویندوز ۷ ۱۰ و سرور2016 :
https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
❤2
Deep Learning with Tensor Flow
آموزش یادگیری عمیق با تنسرفلو
—-------------
این آموزش توسط دکتر سعید آقابزرگی یکی از مهندسان شرکت IBM ارائه شده و سرفصل های زیر رو در بر میگیره :
⭕️Syllabus:
Module 1 - Introduction to TensorFlow
Introduction to TensorFlow
TensorFlow's Hello World
Linear Regression with Tensorflow
Nonlinear Regression
Logistic Regression
Activation Functions
Module 2 - Convolutional Networks
Introduction to Convolutional Networks
Convolution and Feature Learning
Convolution with Python and Tensor Flow
The MNIST Database
Multilayer Perceptron with Tensor Flow
Convolutional Network with Tensor Flow
Module 3 - Recurrent Neural Network
The Recurrent Neural Network Model
Long Short-Term Memory
Recursive Neural Tensor Network Theory
Applying Recurrent Networks to Language Modelling
Module 4 - Unsupervised Learning
The Applications of Unsupervised Learning
Restricted Boltzmann Machine
Training a Restricted Boltzman Machine
Recommendation System with a Restrictive Boltzman Machine
Module 5 - Autoencoders
Introduction to Autoencoders and Applications
Autoencoder Structure
Autoencoders
Deep Belief Network
—----------------
پیش نیازها:
⭕️Prerequisites:
-Python programming
⭕️Recommended skills prior to taking this course:
-Neural Network
—-------------------
شما میتوانید این کورس را آنلاین بگذرانید:
https://bigdatauniversity.com/courses/deep-learning-tensorflow/
یا تمام فیلم ها و فایلهای مرتبط با آن را انتخاب کرده و یکجا دانلود کنید:
https://ibm.ent.box.com/s/62wl3kgzmj5dl8175q5nhpm66izem3ch
آموزش یادگیری عمیق با تنسرفلو
—-------------
این آموزش توسط دکتر سعید آقابزرگی یکی از مهندسان شرکت IBM ارائه شده و سرفصل های زیر رو در بر میگیره :
⭕️Syllabus:
Module 1 - Introduction to TensorFlow
Introduction to TensorFlow
TensorFlow's Hello World
Linear Regression with Tensorflow
Nonlinear Regression
Logistic Regression
Activation Functions
Module 2 - Convolutional Networks
Introduction to Convolutional Networks
Convolution and Feature Learning
Convolution with Python and Tensor Flow
The MNIST Database
Multilayer Perceptron with Tensor Flow
Convolutional Network with Tensor Flow
Module 3 - Recurrent Neural Network
The Recurrent Neural Network Model
Long Short-Term Memory
Recursive Neural Tensor Network Theory
Applying Recurrent Networks to Language Modelling
Module 4 - Unsupervised Learning
The Applications of Unsupervised Learning
Restricted Boltzmann Machine
Training a Restricted Boltzman Machine
Recommendation System with a Restrictive Boltzman Machine
Module 5 - Autoencoders
Introduction to Autoencoders and Applications
Autoencoder Structure
Autoencoders
Deep Belief Network
—----------------
پیش نیازها:
⭕️Prerequisites:
-Python programming
⭕️Recommended skills prior to taking this course:
-Neural Network
—-------------------
شما میتوانید این کورس را آنلاین بگذرانید:
https://bigdatauniversity.com/courses/deep-learning-tensorflow/
یا تمام فیلم ها و فایلهای مرتبط با آن را انتخاب کرده و یکجا دانلود کنید:
https://ibm.ent.box.com/s/62wl3kgzmj5dl8175q5nhpm66izem3ch
❤1
متحرک کردن تصاویر با استفاده از شبکه عمیق
http://motherboard.vice.com/read/researchers-taught-a-machine-how-to-generate-the-next-frames-in-a-video
http://motherboard.vice.com/read/researchers-taught-a-machine-how-to-generate-the-next-frames-in-a-video
❤1
Tensorflow(@CVision)
4_370680515440672906.pdf
کتاب یادگیری ماشین و داده کاوی،
Data Mining
(Practical Machine Learning Tools and Techniques)
فصل 10 کتاب اختصاص به بحث دیپ لرنینگ دارد.
برای دانلود اسلاید ها و توضیحات مربوط به پیاده سازی این کتاب به این لینک مراجعه کنید :
http://www.cs.waikato.ac.nz/ml/weka/book.html
Data Mining
(Practical Machine Learning Tools and Techniques)
فصل 10 کتاب اختصاص به بحث دیپ لرنینگ دارد.
برای دانلود اسلاید ها و توضیحات مربوط به پیاده سازی این کتاب به این لینک مراجعه کنید :
http://www.cs.waikato.ac.nz/ml/weka/book.html
❤1
به تازگی یک کشاورز ژاپنی با استفاده از تنسورفلو سیستمی را برای سورت و بستهبندی خیارهای گلخانهای پیادهسازی کرده است :)
توضیحات کامل به همراه تصاویر در وبلاگ گوگل:
https://cloud.google.com/blog/big-data/2016/08/how-a-japanese-cucumber-farmer-is-using-deep-learning-and-tensorflow
توضیحات کامل به همراه تصاویر در وبلاگ گوگل:
https://cloud.google.com/blog/big-data/2016/08/how-a-japanese-cucumber-farmer-is-using-deep-learning-and-tensorflow
❤1
سخنرانی جفری دین از محققین ارشد گوگل با موضوع یادگیری عمیق در مقیاس بزرگ با استفاده از تنسور فلو
#آموزش
-------------------------------------
The last few years have seen deep learning make significant advances in fields as diverse as speech recognition, image understanding, natural language understanding, translation, robotics, and healthcare. In this talk I'll describe some of the machine learning research done by the Google Brain team (often in collaboration with others at Google). As part of our research, we have built two systems, DistBelief, and TensorFlow, for training large-scale deep learning models on large datasets. I'll describe some of the distributed system techniques we use to scale training of such modelsbeyond single devices, as well describe some of the design decisions and implementation of TensorFlow system, which was open sourced in November, 2015.
--------------------------------------
http://videolectures.net/deeplearning2016_dean_deep_learning/?q=deep%20belief%20network
--------------------------------------
دانلود اسلاید های این سخنرانی :
http://videolectures.net/site/normal_dl/tag=1051684/deeplearning2016_dean_deep_learning.pdf
-------------------------------------
#آموزش
-------------------------------------
The last few years have seen deep learning make significant advances in fields as diverse as speech recognition, image understanding, natural language understanding, translation, robotics, and healthcare. In this talk I'll describe some of the machine learning research done by the Google Brain team (often in collaboration with others at Google). As part of our research, we have built two systems, DistBelief, and TensorFlow, for training large-scale deep learning models on large datasets. I'll describe some of the distributed system techniques we use to scale training of such modelsbeyond single devices, as well describe some of the design decisions and implementation of TensorFlow system, which was open sourced in November, 2015.
--------------------------------------
http://videolectures.net/deeplearning2016_dean_deep_learning/?q=deep%20belief%20network
--------------------------------------
دانلود اسلاید های این سخنرانی :
http://videolectures.net/site/normal_dl/tag=1051684/deeplearning2016_dean_deep_learning.pdf
-------------------------------------
videolectures.net
Large Scale Deep Learning with TensorFlow
The last few years have seen deep learning make significant advances in fields as diverse as speech recognition, image understanding, natural language understanding, translation, robotics, and healthcare. In this talk I'll describe some of the machine learning…
❤1
