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Popular Deep Learning Tools – a review
By Ran Bi, NYU on June 18, 2015 in Convolutional Neural Networks, CUDA, Deep Learning, GPU, Pylearn2, Python, Ran Bi, Theano, TorchDeep Learning is the hottest trend now in AI and Machine Learning. We review the popular software for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch.
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Dark Knowledge Distilled from Neural Network
Geoff Hinton never stopped generating new ideas. This post is a review of his research on “dark knowledge”. What’s that supposed to mean?
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Talking Machine – Deep Learning in Speech Recognition
A summary about an episode on the talking machine about deep neural networks in speech recognition given by George Dahl, who is one of Geoffrey Hinton’s students and just defended his Ph.D last month.
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Watson Developer Cloud-Visual Recognition
IBM Bluemix is a cloud platform which offers both Platform as a Service and Mobile Backend as a Service. Its services include Speech to Text, Text to Speech, Visual Recognition, Concept Insights, and Tradeoff Analytics.
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Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2
Key ideas from a podcast with Deep Learning gurus Geoff Hinton, Yoshua Bengio, and Yann LeCun, where they explain the power of distributed representation and also propose a new open paper review process.
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Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1
An recent interview from the talking machine podcast with three deep learning experts. They talked about the neural network winter and its renewal.
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Facebook Open Sources deep-learning modules for Torch
By Ran Bi, NYU on February 9, 2015 in Artificial Intelligence, Deep Learning, Facebook, GPU, Neural Networks, NYU, Ran Bi, Torch, Yann LeCunWe review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.
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Deep Learning can be easily fooled
It is almost impossible for human eyes to label the images below to be anything but abstract arts. However, researchers found that Deep Neural Network will label them to be familiar objects with 99.99% confidence. The generality of DNN is questioned again.
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8 Things to Check when you analyze Twitter data
A review of biases and issues on large scale studies of human behavior in social media discussed by a recent paper published on Science.
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Geoffrey Hinton talks about Deep Learning, Google and Everything
A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.
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Ran Bi received MS in Data Science from New York University, where she worked on machine learning, deep learning and big data analytics. She is currently a Data Scientist at AIG.
