Seems you have not registered as a member of getfreeebooks.online!

You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.

Sign up

Deep Learning
  • Language: en
  • Pages: 800

Deep Learning

  • Type: Book
  • -
  • Published: 2016-11-18
  • -
  • Publisher: MIT Press

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

Learning Deep Architectures for AI
  • Language: en
  • Pages: 131

Learning Deep Architectures for AI

Theoretical results suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one may need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers or in complicated propositional formulae re-using many sub-formulae. Searching the parameter space of deep architectures is a difficult task, but learning algorithms such as those for Deep Belief Networks have recently been proposed to tackle this problem with notable success, beating the state-of-the-art in certain areas. This paper discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks.

Neural Networks for Speech and Sequence Recognition
  • Language: en
  • Pages: 167

Neural Networks for Speech and Sequence Recognition

Sequence recognition is a crucial element in many applications in the fields of speech analysis, control, and modeling. This book applies the techniques of neural networks and hidden Markov models to the problems of sequence recognition, and as such will prove valuable to researchers and graduate students alike.

Yoshua Bengio
  • Language: en
  • Pages: 110

Yoshua Bengio

  • Type: Book
  • -
  • Published: 2017-10-26
  • -
  • Publisher: Unknown

Biography of Yoshua Bengio, currently Full professor at Universite de Montreal, previously Post-doc at AT&T Labs, Inc. and Post-doc at AT&T Labs, Inc.

Artificial Neural Networks and Their Applications
  • Language: en
  • Pages: 167
Artificial Neural Networks and Their Application to Sequence Recognition
  • Language: en
  • Pages: 352

Artificial Neural Networks and Their Application to Sequence Recognition

  • Type: Book
  • -
  • Published: 1991
  • -
  • Publisher: Unknown

"This thesis studies the introduction of a priori structure into the design of learning systems based on artificial neural networks applied to sequence recognition, in particular to phoneme recognition in continuous speech. Because we are interested in sequence analysis, algorithms for training recurrent networks are studied and an original algorithm for constrained recurrent networks is proposed and test results are reported. We also discuss the integration of connectionist models with other analysis tools that have been shown to be useful for sequences, such as dynamic programming and hidden Markov models. We introduce an original algorithm to perform global optimization of a neural network/hidden Markov model hybrid, and show how to perform such a global optimization on all the parameters of the system. Finally, we consider some alternatives to sigmoid networks: Radial Basis Functions, and a method for searching for better learning rules using a priori knowledge and optimization algorithms." --

Learning from Partial Labels with Minimum Entropy
  • Language: en
  • Pages: 20
Manifold Parzen Windows
  • Language: en
  • Pages: 22
Spectral Dimensionality Reduction
  • Language: en
  • Pages: 28
Inference for the Generalization Error
  • Language: en
  • Pages: 58