Deep Transfer Learning in Diagnosing Leukemia in Blood Cells
نویسندگان
چکیده
منابع مشابه
Deep Multi-Instance Transfer Learning
We present a new approach for transferring knowledge from groups to individuals that comprise them. We evaluate our method in text, by inferring the ratings of individual sentences using full-review ratings. This approach combines ideas from transfer learning, deep learning and multi-instance learning, and reduces the need for laborious human labelling of fine-grained data when abundant labels ...
متن کاملHybrid Heterogeneous Transfer Learning through Deep Learning
Most previous heterogeneous transfer learning methods learn a cross-domain feature mapping between heterogeneous feature spaces based on a few cross-domain instance-correspondences, and these corresponding instances are assumed to be representative in the source and target domains respectively. However, in many realworld scenarios, this assumption may not hold. As a result, the constructed feat...
متن کاملSimulated Transfer Learning Through Deep Reinforcement Learning
This paper encapsulates the use reinforcement learning on raw images provided by a simulation to produce a partially trained network. Before training is continued, this partially trained network is fed different raw images that are more tightly coupled with a richer representation of the non-simulated environment. The use of transfer learning allows for the model to adjust to this richer repres...
متن کاملCorefrence resolution with deep learning in the Persian Labnguage
Coreference resolution is an advanced issue in natural language processing. Nowadays, due to the extension of social networks, TV channels, news agencies, the Internet, etc. in human life, reading all the contents, analyzing them, and finding a relation between them require time and cost. In the present era, text analysis is performed using various natural language processing techniques, one ...
متن کاملNamed Entity Recognition in Persian Text using Deep Learning
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers
سال: 2020
ISSN: 2073-431X
DOI: 10.3390/computers9020029