Guide to choose right deep Learning framework for your AI project

阿新 • • 發佈：2018-12-28

As world rolling around Artificial Intelligence (AI), demand for the AI-based product seen exponential growth, so the AI research. Deep learning algorithms and techniques are widely used for research and development of these products. Good news is that year by year Deep Learning has seen its glory in the release of many open source frameworks which ease the pain to develop and implement these algorithms. As there are many deep learning frameworks out there and it can lead to confusion as to which one is better for your task. And choosing a deep learning framework for an AI project is as important as choosing a programming language to code product, Data science project coupled with the right deep learning framework has truly amplified the overall productivity.

Guide to choose right deep Learning framework for your AI project

As world rolling around Artificial Intelligence (AI), demand for the AI-based product seen exponential growth, so the AI research. Deep learning algorithms

docker to create awesome Deep Learning Environments for R (or Python) PT I | AITopics

How long does it take you to install your complete GPU-enabled deep learning environment including RStudio or jupyter and all your packages? And do you hav

How to build a Deep Learning Image Classifier for Game of Thrones dragons

Performance of most flavors of the old generations of learning algorithms will plateau. Deep learning, training large neural networks, is scalable and perf

DRN: A Deep Reinforcement Learning Framework for News Recommendation學習

歡迎轉載，請註明出處https://blog.csdn.net/ZJKL_Silence/article/details/85798935。本文提出了（基於深度Q-learning 的推薦框架）基於強化學習的推薦系統框架來解決三個問題： 1）首先，使用DQN網路來有效建模新聞推薦的動態變化

SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation論文解讀

一、論文概述 SenseGen這篇論文是17年發表在PerCom Workshops上的一篇論文，來自加州大學洛杉磯分校（University of California at Los Aneles，UCLA）網路與嵌入式系統實驗室（Netoworked & Embedded Syste

Embed,encode,attend,predict:the new deep learning formula for state-of-the -art NLP models

轉載來自：https://explosion.ai/blog/deep-learning-formula-nlp 在過去六個月，一種強大的新型神經網路工具出現應用於自然語言處理。新型的方法可以總結為四步驟：嵌入（embed），編碼（encode），加入（atte

《PCANet: A Simple Deep Learning Baseline for Image Classification》

對照論文中的示例圖和文章給出的程式碼來梳理從圖中看到，整個網路有三個關鍵步驟，Patch-mean removal 、 PCA filter convolution與Binary quantization &mapping ，分別是區域性均值化、

PCANet: A Simple Deep Learning Baseline for Image Classification?--名詞解釋

1 上取樣與下采樣縮小影象（或稱為下采樣（subsampled）或降取樣（downsampled））的主要目的有兩個：使得影象符合顯示區域的大小生成對應影象的縮圖下采樣原理：對於一幅影象I尺寸為M*N，對其進行s倍下采樣，即得到(M/s)*(N/s)尺寸的得解析度影象，當然s應該是

Ranking Popular Deep Learning Libraries for Data Science

Much of our curriculum is based on feedback from corporate and government partners about the technologies they are using and learning. In addition to their

Deep Learning Courses For NLP Market Research Report 2018 by Coursera, Stanford University, Udemy , UpX Academy, Class Central,

Deep learning process for the NLP market confirms that increasing applicability in customer-centric organizations is one of the key factors that can positi

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. We aimed to develop and validate a s

Deep Learning Framework Power Scores 2018

Deep Learning Framework Power Scores 2018Who’s on top in usage, interest, and popularity?Deep learning continues to be the hottest thing in data science. D

How to Develop a Deep Learning Photo Caption Generator from Scratch

Tweet Share Share Google Plus Develop a Deep Learning Model to Automatically Describe Photograph

Let's draw! New deep learning technique for realistic caricature art: Data

A team of computer scientists from City University of Hong Kong and Microsoft, have developed an innovative deep learning-based approach to automatically

『論文閱讀』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

AbstractMULTI-VIEW-DNN聯合了多個域做的豐富特徵，使用multi-view DNN模型構建推薦，包括app、新聞、電影和TV，相比於最好的演算法，老使用者提升49%，新使用者提升110%。並且可以輕鬆的涵蓋大量使用者，解決冷啟動問題。主要做user embedding的過程，通多使用者在多

New AWS Deep Learning AMIs for Machine Learning Practitioners

We’re excited to announce the availability of two new versions of the AWS Deep Learning AMI. The first is a Conda-based AMI with separate Python e

【論文解讀】【半監督學習】【Google教你水論文】A Simple Semi-Supervised Learning Framework for Object Detection

題記：最近在做LLL(Life Long Learning)，接觸到了SSL(Semi-Supervised Learning)正好讀到了谷歌今年的論文，也是比較有點開創性的，淺顯易懂，對比實驗豐富，非常適合缺乏基礎科學常識和剛剛讀研不會寫論文的同學讀一讀，觸類旁通嘛。　　這篇論文思路等等也非常適合剛剛開始

Why to Use CSS Instead of JavaScript for Your Menus

Why to Use CSS Instead of JavaScript for Your MenusBefore I start on this post, if you haven’t read my post, Good Tech Things to Know, I recommend you read

Deep Learning & ML, Predictive Analytics, AI | AITopics

This is a great resource to keep catch the latest news on topics, languages, tools in data science and AI, listen to an industry professional on a podcast,

Routes to Defensibility for your AI Startup

Routes to Defensibility for your AI StartupA simple framework for understanding the impact of data network effects and incumbents’ advantages in your indus

Guide to choose right deep Learning framework for your AI project

相關推薦