Short Introduction to Convolutions and Pooling: Deep Learning 101!
Deep learning is a vast field that's generating massive interest these days. It's popularly used in research but has slowly gained market penetration in the industry in the last few years. But what essentially is deep learning? Deep learning refers to neural networks with lots of layers. It's still quite a buzzword, but the technology behind it is real and quite sophisticated.
相關推薦
Short Introduction to Convolutions and Pooling: Deep Learning 101!
Deep learning is a vast field that's generating massive interest these days. It's popularly used in research but has slowly gained market penetration in th
Introduction to Matrices and Matrix Arithmetic for Machine Learning
Tweet Share Share Google Plus Matrices are a foundational element of linear algebra. Matrices ar
A Short Introduction to Boosting
short why clu rom ons ner boosting algorithm plain http://www.site.uottawa.ca/~stan/csi5387/boost-tut-ppr.pdf Boosting is a general m
CS 3640: Introduction to Networks and Their Applications
代寫CS 3640作業、代做Web Scraping作業、代寫HTML/CSS/web作業CS 3640: Introduction to Networks and Their Applications [Fall 2018]Assignment 4 | Web Scraping: Record and Re
A Gentle Introduction to Autocorrelation and Partial Autocorrelation (譯文)
A Gentle Introduction to Autocorrelation and Partial Autocorrelation 原文作者:Jason Brownlee 原文地址:https://machinelearningmastery.com/gentle-introdu
Learn How to Code and Deploy Machine Learning Models on Spark Structured Streaming
This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned. For last few month
Why it's time to learn more about deep learning
Deep learning is a subset of machine learning, and chances are you've already used it whether you know it or not. While you most likely have heard the term
Microsoft acquires AI startup Lobe to help people make deep learning models without code
Microsoft today announced it has acquired Lobe, creator of a platform for building custom deep learning models using a visual interface that requires no co
Ask HN: Whats the best way to learn C++ for Deep learning?
What is your reason for learning "C++ for deep learning"?This will kind of define how to go about doing it.I can think of a few different reasons you might
A Quick Introduction to Text Summarization in Machine Learning
A Quick Introduction to Text Summarization in Machine LearningText summarization refers to the technique of shortening long pieces of text. The intention i
Introduction to MongoDB and Python
Python is a powerful programming language used for many different types of applications within the development community. Many know it as a flexible lan
Introduction to Git and GitHub for Python Developers
Have you ever worked on a Python project that stopped working after you made a change here or a PEP-8 cleanup there, and you weren’t quite sure how to g
Biotechnology Stocks To Buy Based on Deep Learning: Returns up to 52.38% in 7 Days
Biotechnology to buy: The BioTech Stocks Package is designed for investors and analysts who need predictions of the best stocks to buy for the whole Biotec
【Unity-Graphics】Introduction to Lighting and Rendering
燈光(Lighting)和渲染(Rendering)簡介 現代遊戲照明廣泛使用“全域性光照(global illumination)”。 全域性光照,或稱“GI”是用於描述一系列技術和數學模型的術語,它們試圖模擬光線與世界反彈(bounce)和互動(inte
How to Get Started with Deep Learning for Natural Language Processing (7
Tweet Share Share Google Plus Deep Learning for NLP Crash Course. Bring Deep Learning methods to
9 Ways to Get Help with Deep Learning in Keras
Tweet Share Share Google Plus Keras is a Python deep learning library that can use the efficient
A Gentle Introduction to Matrix Factorization for Machine Learning
Tweet Share Share Google Plus Many complex matrix operations cannot be solved efficiently or wit
A Gentle Introduction to Autocorrelation and Partial Autocorrelation
Tweet Share Share Google Plus Autocorrelation and partial autocorrelation plots are heavily used
How to Use Metrics for Deep Learning with Keras in Python
Tweet Share Share Google Plus The Keras library provides a way to calculate and report on a suit
A guide to convolution arithmetic for deep learning
一、Discrete convolutions A discrete convolution is a linear transformation that preserves this notio