Deep learning is a new era of machine learning and belonging to the area of artificial intelligence. It has tried to mimic the working of the way the human brain does. The models of deep learning have the capability to deal with high dimensional data and perform the complicated tasks in an...
路线图在Github上,地址是: GitHub - songrotek/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! 以下是截图: 希望对大家有所帮助!
Deep Learning Papers Reading Roadmap 地址: https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap?utm_source=tuicool&utm_medium=referral 参考: http://www.csdn.net/article/2015-06-01/2824811 1.1 survey Deep Learning 摘要 深度学习:允许拥有多个处理层的计算模型去学习拥有多层抽象的数据表示。
the basic architectures of Deep Learning model(including CNN, RNN, LSTM) and how deep learning can be applied to image and speech recognition issues. The following papers will take you in-depth understanding of the Deep Learning method, Deep Learning in different areas of application and ...
The purpose of this project is to introduce a shortcut to developers and researcher for finding useful resources about Deep Learning. There are different motivations for this open source project. There are other repositories similar to this repository that are very comprehensive and useful and to be...
Trans-Driver: a deep learning approach for cancer driver gene discovery with multi-omics data Trans-Driver uses deep learning to process multi-omics data and learn the relationships between multi-omics data for cancer driver gene prediction. We have... H Yang,L Zhang,DD Zhou,... - 《Biorxi...
Newton's method for optimization SGD How to implement these method in torch ? NLP Preprocessing Study Road Map first understand the traditional word embedding technology and new word embedding technology then explore the application that can be done with these word embedding technology ...
17.2.1 Protein Representation Learning for Function Prediction 已经有很多蛋白质表示学习来做蛋白质功能预测。作者给了一张表 其实一眼可以看到,相对于每天刷屏的超大模型,最热门的蛋白质语言模型 ESM 的参数量也远远不及(BERT 340M 参数、GPT-2 1542M参数、Turing NLG 17B参数、GPT-3 175B参数) ...
代码地址: https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap download.py的内容如下 from __future__ import print_function import os import re from six.moves.urllib.error importHTTPErrorimport shutil import argparse import mistune ...
for PatientPing. M. Sendak is a named inventor of the Sepsis Watch deep-learning model, which was licensed from Duke University by Cohere Med, Inc. M. Sendak does not hold any equity in Cohere Med, Inc. M. Saeed is a founder and Chief Medical Officer at HEALTH at SCALE Technologies ...