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.
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
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
edX
Deep Learning Explained
Learn an intuitive approach to building the complex models that help machines solve real-world problems with human-like intelligence.
#سورس_کد #مقاله
در این روش که چند روز پیش توسط فیس بوک اوپن سورس شده آموزش speech recognition به صورت end-to-end صورت میگیرد .
Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native
https://code.fb.com/ai-research/wav2letter/
CNN architectures are competitive with #recurrent architectures for tasks in which modeling long-range dependencies is important, such as #language_modeling, machine translation, and #speech_synthesis. In end-to-end #speech_recognition, however, recurrent architectures are still more prevalent for both acoustic and language modeling.
در این روش که چند روز پیش توسط فیس بوک اوپن سورس شده آموزش speech recognition به صورت end-to-end صورت میگیرد .
Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native
https://code.fb.com/ai-research/wav2letter/
CNN architectures are competitive with #recurrent architectures for tasks in which modeling long-range dependencies is important, such as #language_modeling, machine translation, and #speech_synthesis. In end-to-end #speech_recognition, however, recurrent architectures are still more prevalent for both acoustic and language modeling.
Engineering at Meta
Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native
WHAT THE RESEARCH IS: A new fully convolutional approach to automatic speech recognition and wav2letter++, the fastest state-of-the-art end-to-end speech recognition system available. The approach …