Deep learning
Yann LeCun, Yoshua Bengio & Geoffrey Hinton
http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html

#Deep_learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object #recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep #convolutional nets have brought about breakthroughs in processing #images, #video, #speech and #audio, whereas #recurrent nets have shone light on sequential data such as #text and speech.

#کورس #آموزش
دوره رایگان آموزش مبانی یادگیری عمیق توسط ماکروسافت
این دوره از 5 تیر 96 آغاز شده و طول این دوره 6 هفته است.
در این دوره با فریم ورک CNTK یا Microsoft Cognitive Toolkit آشنا خواهید شد.

Free EDX Course: " Deep Learning Explained "
Starts - Jun 27, 2017
Course Syllabus:
Week 1: Introduction to deep learning and a quick recap of machine learning concepts.
Week 2: Building a simple multi-class #classification model using logistic regression
Week 3: Detecting digits in hand-written digit image, starting by a simple end-to-end model, to a deep neural network
Week 4: Improving the hand-written digit #recognition with #convolutional network
Week 5: Building a model to forecast time data using a #recurrent network
Week 6: Building text data application using recurrent #LSTM (long short term memory) units

🔗 https://www.edx.org/course/deep-learning-explained-microsoft-dat236x

#course #Microsoft #edx #deep_learning #CNTK