Contents 1. Introduction to Deep Learning (DL) in Neural Networks (NNs)...................................................................................................................................... 86 2. Event-oriented notation for activatio
ACL 2016 best paper 之一Combining deep neural networks with structured logic rules is desirable to harness flexibility and reduce uninterpretability of the neural models. We propose a general framework capable of enhancing various types of neural netw
Long short-term memory (LSTM) is a recurrent neural network (RNN) architecture that remembers values over arbitrary intervals. Stored values are not modified as learning proceeds. RNNs allow forward and backward connections between neurons. An LSTM
https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Deep Learning: Recurrent Neural Networks in Python GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences Created by Lazy Programmer Inc. Last
Machine learning is one of the star disciplines at present. Acclaimed by the media as the future of work, it is said to be part of any significant tech investment in recent months, in a world where everything is driven by data and automation. It is
Recent advances in 3D sensing technologies make it possible to easily record color and depth images which together can improve object recognition. Most current methods rely on very well-designed features for this new 3D modality. We introduce a mode
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R by V Kishore Ayyadevara Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models be
