تبدیل صوت شما به صوت فرد دیگر با یادگیری عمیق!

Voice Style Transfer using Deep Learning


It takes a snippet of speech and then translates the snippet of speech using the voice style of another person.

🔗 https://medium.com/intuitionmachine/voice-style-transfer-using-deep-learning-d173f1608af5
🔗 https://avdnoord.github.io/homepage/vqvae/

کاری مشابه با تبدیل چهره https://news.1rj.ru/str/cvision/349 اما در حوزه ی صدا...

#virtual_talking #Style_Transfer
#deep_learning #Voice

تنسرفلو 5-امین پروژه محبوب در Github از بین بیش از 2 میلیون پروژه ی موجود در این سایت...

The most popular repositories on #Github:
(2017 09 November)
http://bit.ly/1L7jRWz

#github #Tensorflow

Capsule Networks Explained
(November 10, 2017 by Kendrick Tan )
https://kndrck.co/posts/capsule_networks_explained/

مرتبط با:
https://news.1rj.ru/str/cvision/355
https://news.1rj.ru/str/cvision/362
https://news.1rj.ru/str/cvision/363

🙏Thanks to: @cyberbully_gng
#CapsNet #Hinton #Deep_learning

Software 2.0
اندره کارپاسی، مدیر هوش مصنوعی تسلا، شبکه های عصبی را نرم افزار 2 نامید...
او معتقد است شبکه های عصبی تنها یک طبقه بند دیگرنیستند، بلکه آنها نشان دهنده آغاز یک تغییر اساسی در نحوه نوشتن نرم افزار می باشد. آنها نرم افزار 2.0 هستند...

https://medium.com/@karpathy/software-2-0-a64152b37c35

#software2 #karpathy #tesla #neural_network

بازشناسی احساسات از روی صدا با شبکه عصبی عمیق VGG16

Researchers teach computer to recognize emotions in speech!

...trained a neural network to recognize eight different emotions: neutral, calm, happy, sad, angry, scared, disgusted, and surprised. In 70% of cases the computer identified the emotion correctly, say the researchers. ...

https://www.eurekalert.org/pub_releases/2017-11/nruh-rtc110817.php

Related paper:
🔗 Emotion Recognition in Sound:
https://link.springer.com/chapter/10.1007/978-3-319-66604-4_18

#deep_learning #emotion #sound

Online Deep Learning: Learning Deep Neural Networks on the Fly

https://arxiv.org/abs/1711.03705

#deep_learning #online_learning

یادگیری عمیق چیست و چه کاری که قبلا نمیتوانستیم انجام دهیم را برایمان حل کرده؟!

A Primer on Deep Learning
[ Posted by Amelia Matteson on October 27, 2017]

https://www.datasciencecentral.com/profiles/blogs/a-primer-on-deep-learning

#deep_learning

برخی از مقالات جالب در حوزه ی بینایی ماشین در سال 2017

Some interesting Computer Vision papers from ICCV 2017

https://medium.com/@sarfarazhusein/some-interesting-computer-vision-papers-from-iccv-2017-94d245e9dd05

#computer_vision

گوگل پیشنمایش تنسرفلو لایت را برای توسعه دهندگان موبایل معرفی کرد.

#TensorFlow_Lite

https://developers.googleblog.com/2017/11/announcing-tensorflow-lite.html

مرتبط با https://news.1rj.ru/str/cvision/208

#کتاب رایگان
Considering TensorFlow for the Enterprise
[November 2017, First Edition]
http://www.oreilly.com/data/free/considering-tensorflow-for-the-enterprise.csp

#Oreilly #book #tensorflow #free

معرفی #کورس ، #آموزش

Accelerating Deep Learning with GPU (Beta)

https://cognitiveclass.ai/courses/accelerating-deep-learning-gpu/

#deep_learning #GPU

آینده ی بسیار وحشتناک هوش مصنوعی، ربات پرنده کوچک قاتل مجهز به تشخیص چهره و هدایت خودکار!
#Killer_Drones
فیلم کامل:
https://www.youtube.com/watch?v=TlO2gcs1YvM

#خبر
Google Developers Blog:
Introducing #TensorFlow Feature Columns

https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html?m=1

🙏Thanks to: @MohsenF91

Artificial Intelligence, Machine Learning and Deep Learning...

فروش لپ تاپ مخصوص دیپ لرنینگ و تنسرفلوکارها!

https://lambdal.com/products/tensorbook

معرفی #کورس، #آموزش

DeepSchool.io

⭕️Contents:
Lesson 0: Introduction to regression.
Lesson 1: Penalising weights to fit better (scikit learn intro)
Mathematics (optional)

Lesson 2: Gradient Descent. Using basic optimisation methods.
Lesson 3: Tensorflow intro: zero layer hidden networks (i.e. normal regression).
Lesson 4: Tensorflow hidden layer introduction.
Deep Learning

Lesson 5: Using #Keras to simplify multi layer neural nets.
Lesson 6: Embeddings to deal with categorical data. (Keras)
Lesson 7: Word2Vec. Embeddings to visualise words. (#Tensorflow)
Lesson 8: Application - Bike Sharing predictions
Lesson 9: Choosing Number of Layers and more
Lesson 10: XGBoost - A quick detour from Deep Learning
Lesson 11: Convolutional Neural Nets (MNIST dataset)
Lesson 12: CNNs and BatchNormalisation (CIFAR10 dataset)
Lesson 13: Transfer Learning (Dogs vs Cats dataset)
Advanced Topics

Lesson 14: LSTMs - Sentiment analysis.
Lesson 15: LSTMs - Shakespeare.
Lesson 16: LSTMs - Trump Tweets.
Lesson 17: Trump - Stacking and Stateful LSTMs.
Lesson 18: Fake News Classifier

🔗Deep Learning tutorials in jupyter notebooks:
http://www.deepschool.io
🔗 YouTube Playlist:
https://www.youtube.com/playlist?list=PLIx9QCwIhuRS1SPS9LHF7VjvZyM1g2Swz

#deep_learning #tutorial

What is a CNN’s receptive field?

https://www.quora.com/What-is-a-CNN%E2%80%99s-receptive-field
#receptive_field #convolutional_neutral_network

Predicting #Cryptocurrency Prices With Deep Learning

 https://dashee87.github.io/deep%20learning/python/predicting-cryptocurrency-prices-with-deep-learning/

#bitcoin #deep_learning #LSTM

#آموزش

An Easy Guide to build new #TensorFlow Datasets and Estimator with #Keras Model

http://bit.ly/2jqR5rc

#آموزش #منابع #دانلود_کورس

دانلود دوره یادگیری عمیق مایکروسافت

http://muniversity.ir/deep-learning-explained/

🙏 Thanks to: @muniversity_ir

منابع مفید برای شروع #یادگیری_تقویتی
#مسیر_یادگیری، #منابع، #کورس

⭕️Resources for #Reinforcement_Learning:

Wikipedia Article for General Info on Reinforcement Learning

https://stackoverflow.com/questions/43288550/iopub-data-rate-exceeded-when-viewing-image-in-jupyter-notebook

Simpler Reinforcement Learning API with #Keras. It's a lot easier to play with this than manually implement techniques in #TensorFlow.

https://github.com/matthiasplappert/keras-rl

Huge Repo of Implemented RL Algos:

https://github.com/dennybritz/reinforcement-learning

#Berkeley #Course on RL and DL:

http://rll.berkeley.edu/deeprlcourse/

Nice Series of Articles on RL:

https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0

Some great books on RL:

* Richard S. Sutton and Andrew G. Barto. Reinforcement Learning.
* Stuart J. Russell and Peter Norvig. Artificial Intelligence. A Modern Approach.
* Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning.