Tech Neo May Issue: Deep Learning

Tech Neo May Issue: Deep Learning

51CTO Network+ Platform launched the "TechNeo" e-magazine, which brings excellent reading experience to technical personnel through the selection of original technical content and exquisite layout. "Read me to understand you, and be the choice of millions of developers" is the slogan of "TechNeo". This magazine is aimed at developers, technical directors and architects. The magazine covers exclusive experience sharing, case analysis, and core technology interpretation, which can help you find the right path at the crossroads and improve your work efficiency.

Recommended Cover of This Issue

Today, with AI playing such an important role in the industry, deep learning, as an important research branch, has appeared in almost all popular AI application fields, including semantic understanding, image recognition, speech recognition, natural language processing, etc. Some people even believe that current artificial intelligence is equivalent to the field of deep learning. In this era of artificial intelligence, if you are an ambitious programmer, student, or enthusiast who does not understand the hot topic of deep learning, you seem to be out of touch with the times.

However, deep learning requires a lot of math, including calculus, linear algebra, probability theory, and mathematical statistics, which makes most young people with ideals and ambitions hesitate to move forward. So the question is, do you really need this knowledge to understand deep learning? I won't keep you in suspense, the title has already explained it.

Some time ago, the editor browsed various community forums and found a reply post on deep learning that is very suitable for beginners to learn. It uses humorous vernacular and examples to analyze the process of deep learning in a simple and easy-to-understand way. After communicating with Mr. Yang Anguo, who works in the field of artificial intelligence at Siemens, I obtained the content editing authorization and reorganized and revised the content to make it more understandable. I hope everyone can understand deep learning.

City Exploration

AI in Plain Language: Is it really that difficult to understand deep learning? Junior high school math in just 10 minutes

How can back-end developers feel? Salaries of front-end programmers exposed

Get in the right posture and see the practical ideas of Google's god-level deep learning framework TensorFlow

The Story of Aiki

Aiti Tribe Story Collection (11): Programming from 0 to 1

Aite Tribe Story Collection (12): Habits lead to skill improvement

Aiti Tribe Stories (13): Playing to one's strengths and avoiding one's weaknesses to enter the Oracle development industry

Aiti Tribe Story Collection (14): Sharing helps improve operation and maintenance capabilities

Aite Tribe Stories (15): Continuously innovate and become a trendsetter in the technological tide

Aiti Tribe Story Collection (16): Best Practices for Technical People During Their Fatigue Period

Aite Tribe Stories (17): My Two Days and Two Nights of Fighting with Eternal Blue

Selected Translations

Programming language rankings in May 2017: Java and C language advantages are beginning to narrow

When to explore superficially and when to delve deeper - machine learning is not something that can be explained on a single page

AI helps you solve the problem of "too long to read": How to build a deep abstract summary model

How will people in the future view our current robots?

The Easiest Way to Install and Configure OpenVPN Server in Linux!

Microsoft releases P language, aiming to combine cloud, AI and IoT

Three challenges in creating robots for immersive environments

The four main drawbacks of serverless architecture cannot be ignored

Technical consultation

Aiti Tribe Technical Clinic·Selected Edition

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