AI News, NIPS Proceedingsβ
- On 6. juni 2018
- By Read More
Part of: Advances in Neural Information Processing Systems 27 (NIPS 2014) We propose a pre-training technique for recurrent neural networks based on linear autoencoder networks for sequences, i.e.
Using four well known datasets of sequences of polyphonic music, we show that the proposed pre-training approach is highly effective, since it allows to largely improve the state of the art results on all the considered datasets.
- On 25. september 2020
Neural Models for Information Retrieval
In the last few years, neural representation learning approaches have achieved very good performance on many natural language processing (NLP) tasks, such ...
From Deep Learning of Disentangled Representations to Higher-level Cognition
One of the main challenges for AI remains unsupervised learning, at which humans are much better than machines, and which we link to another challenge: ...
High-Accuracy Neural-Network Models for Speech Enhancement
In this talk we will discuss our recent work on AI techniques that improve the quality of audio signals for both machine understanding and sensory perception.
Deep Learning with TensorFlow - Introduction to TensorFlow
Enroll in the course for free at: Deep Learning with TensorFlow Introduction The majority of data ..
Keras Tutorial TensorFlow | Deep Learning with Keras | Building Models with Keras | Edureka
TensorFlow Training - ** This Edureka Keras Tutorial TensorFlow video (Blog: .
Introduction to Cognitive Toolkit | AI8
This session will feature the Cognitive Toolkit, digging into how developers can create their own deep and machine learning models.
The Cognitive and Computational Neuroscience of Categorization, Novelty-Detec...
Google Tech Talks November, 15 2007 ABSTRACT Neurocomputational models provide fundamental insights towards understanding the human brain circuits ...
Deep Learning of Representations
Google Tech Talk 11/13/2012 Presented by Yoshua Bengio ABSTRACT Yoshua Bengio will give an introduction to the area of Deep Learning, to which he has ...
Learning Intermediate-Level Representations of Form and Motion from Natural Movies
A presentation given at Dartmouth College by Charles Cadieu (UC Berkeley)