what is a crash course in learning

As mentioned before, a crash course in general is a fast & intensive approach to learning any given subject. Crash courses come in different options, including online courses and books (more on that below). For instance, Coursera offers Crash Course on Python.

Full Answer

How much is a crash course?

Definition of crash course. : a rapid and intense course of study also : an experience that resembles such a course has been given a crash course in diplomacy in his first weeks in office.

What does crash course mean?

Jan 06, 2017 · A Crash Course in Deep Learning Deep learning refers to a class of artificial neural networks (ANNs) composed of many processing layers. ANNs existed for many decades, but attempts at training deep...

What is another word for Crash Course?

Apr 11, 2022 · With a crash course (or any type of accelerated learning), you can get all the essentials in a short period of time. This helps to build practical Python skills more efficiently, so you can start to code in no time! You’ll want to determine whether a written resource, video content or live instruction works best for your particular learning style.

Are crash courses helpful?

Sep 25, 2020 · A Crash Course in Machine Learning September 25, 2020 by The Customer Advocate How Machine Learning Enriches Customer Feedback The terms “machine learning” and “AI” are being used more frequently. They are two terms that are often used interchangeably in …

What is a crash course?

A crash course is an educational or research course conducted over a very short period of time. These rapid learning programs may also be described by the ambiguous term crash program.

Is crash course good for learning?

“If you have more time to study, Crash Course is a great supplement but should certainly not be your only method of preparing as it does not go as in depth as other detailed learning resources do. ” Overall, students are looking forward to using Crash Course again in the future.May 12, 2017

Why is it called a crash course?

It was basically a pass/fail class in which, after a certain amount of training, you either landed successfully, or you crashed into Lake Michigan. This was done during WWII, so pilots had only a short time to learn before they were sent out to fight.Feb 24, 2009

Who teaches Crash Course?

John and Hank GreenCrash Course (sometimes stylized as CrashCourse) is an educational YouTube channel started by John and Hank Green (collectively the Green brothers), who first achieved notability on the YouTube platform through their Vlogbrothers channel.

Why is Crash Course so popular?

With “Crash Course,” viewers are much more engaged and quick to absorb information because of the visually attractive, fast-paced format. These videos prove to be a pretty helpful tool for exams, especially for intro classes.Nov 9, 2017

What's another word for crash course?

synonyms for crash coursecorrespondence course.distance-learning course.elective course.further reading.further study.revision.seminar.summer course.

What is a crash course UK?

1 - 6 Days Intensive Driving Courses An intensive (or crash course) gives you the opportunity to learn to drive in a very short period of time.

What is another way to say crash course?

What is another word for crash course?refresher coursecorrespondence coursedistance-learning courseelective coursefurther readingfurther studyrevisionseminarsummer course

What is a crash course?

For other uses, see Crash Course (disambiguation). Crash Course (sometimes stylized as CrashCourse) is an educational YouTube channel started by John and Hank Green (collectively the Green brothers ), who first achieved notability on the YouTube platform through their VlogBrothers channel. Crash Course was one of the hundred initial channels funded ...

Who is the host of Crash Course Kids?

A second channel, Crash Course Kids, is hosted by Sabrina Cruz and has completed its first series, Science. The first foreign-language course, an Arabic reworking of the original World History series, is hosted by Yasser Abumuailek.

How many subscribers does Crash Course have?

The channel launched a preview on December 2, 2011, and as of January 2021. , it has accumulated over 12 million subscribers and 1.4 billion video views.

Where was Crash Course Kids filmed?

In addition, Economics was filmed at the YouTube Space in Los Angeles, while Crash Course Kids was filmed in a studio in Toronto, Ontario.

Who is Craig Benzine?

Craig Benzine, host of U.S. Government and Politics, was brought on as part of the PBS Digital Studios funding deal. In 2014, Crash Course announced a partnership with PBS Digital Studios, which began in 2015 with the Astronomy and U.S. Government and Politics series.

What is subbable crowdfunding?

Eventually, YouTube's original channel initiative funding ran out, and shortly after Hank's video, the Green brothers decided to launch Subbable, a crowdfunding website where viewers could donate monthly to channels in exchange for perks.

When did World History come out with the DVD?

DVD box sets of the complete run of the Biology series and of season 1 of World History were made available for pre-order on October 31, 2013. In June 2016, the show's official site launched, providing free offline downloads of all episodes of every series completed to date. In May 2020, an official mobile app launched, providing easy access to all of the courses' video content along with rolling out flashcard and quiz study aides for particular courses.

What is deep learning?

Deep learning refers to a class of artificial neural networks (ANNs) composed of many processing layers. ANNs existed for many decades, but attempts at training deep architectures of ANNs failed until Geoffrey Hinton’s breakthrough work of the mid-2000s. In addition to algorithmic innovations, the increase in computing capabilities using GPUs and the collection of larger datasets are all factors that helped in the recent surge of deep learning.

What is activation function?

Activation functions transform the weighted sum of inputs that goes into the artificial neurons. These functions should be non-linear to encode complex patterns of the data. The most popular activation functions are Sigmoid, Tanh and ReLU. ReLU is the most popular activation function in deep neural networks.

What is pooling in a network?

Pooling is a form of non-linear down-sampling. The goal of the pooling layer is to progressively reduce the spatial size of the representation to reduce the amount of parameters and computation in the network, and hence to also control overfitting. There are several functions to implement pooling among which max pooling is the most common one. Pooling is often applied with filters of size 2x2 applied with a stride of 2 at every depth slice. A pooling layer of size 2x2 with stride of 2 shrinks the input image to a 1/4 of its original size. [2]

What is the simplest architecture of convolutional neural networks?

The simplest architecture of a convolutional neural networks starts with an input layer (images) followed by a sequence of convolutional layers and pooling layers, and ends with fully-connected layers. The convolutional layers are usually followed by one layer of ReLU activation functions.

What is a convolutional neural network?

Convolutional neural networks are a special type of feed-forward networks. These models are designed to emulate the behaviour of a visual cortex. CNNs perform very well on visual recognition tasks. CNNs have special layers called convolutional layers and pooling layers that allow the network to encode certain images properties.

What is Machine Learning?

Remember the “Duck test”? The expression goes: If it looks like a duck, swims like a duck and quacks like a duck, it’s probably a duck. A simple example of abductive reasoning and an illustration of how a pattern in information leads to a predicted outcome – pattern recognition is the sweet spot of machine learning.

How Guest-Note uses Machine Learning to Enrich Feedback

Think of the computer adage “garbage in, garbage out.” The future value derived from data rests on the quality of that data. That means accurate classification and even subclassification of subjects customers are discussing increases the usefulness of the data.

Overview

Deep learning is emerging as a major disruptive technology in biomedical and clinical research. It is also a skill with high demand in the decade to come. This course aims to teach the foundations to understand how neural network works and also introduce latest developments.

Who is this course for

This course is for anyone who is willing to learn the deep learning. Before diving into the subjects, it is the best to review basic linear algebra and probability theory. Python programming is used through out the course, so getting familiar with python is necessary.

Course content

Neural Network basics, backprop, optimization, loss function, setup and monitor your training, convolution neural network, recurrent neural network, transformer, attention mechanism, generative adversarial network, adversarial attacking, visualization of neural network, transfer learning, meta learning, contrastive learning, data management, experiment management, etc..

Who will teach

Hui Xue is an active researcher on developing deep learning based imaging applications. The AI imaging products he developed had been deployed at more than forty hospitals globally and used daily to help cardiologists.

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