What Is Deep Learning? Deep Learning In 5 Minutes.

“What is Deep Learning? Deep Learning will change the lives of all of us. It’s behind what makes self-driving cars a reality.” ~Dave Waters

Deep learning is a type of machine learning that uses artificial neural networks to learn from data. Neural networks are inspired by the structure and function of the human brain, and they are able to learn complex patterns from data.

Deep learning models are typically made up of multiple layers of artificial neurons. Each layer of neurons learns to extract different features from the data. The first layer of neurons might learn to identify basic features, such as edges and corners. The next layer of neurons might learn to identify more complex features, such as shapes and objects. And so on.

Deep learning models are trained by feeding them large amounts of data. The model learns to adjust its parameters in order to minimize the error between its predictions and the actual outputs. This process of training is called supervised learning.

Once a deep learning model is trained, it can be used to make predictions on new data. For example, a model that has been trained on images of cats and dogs can be used to predict whether a new image contains a cat or a dog.

Deep learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, natural language processing, and machine translation. It is a powerful tool that can be used to solve complex problems in a variety of fields.

Here are some examples of how deep learning is used in the real world:

Image recognition: Used to power image recognition systems, such as the ones used in self-driving cars and facial recognition software.
Natural language processing: Used to power natural language processing systems, such as the ones used in machine translation and chatbots.
Machine translation: Used to power machine translation systems, such as the ones used by Google Translate and Microsoft Translator.
Medical diagnosis: Used to develop medical diagnosis systems that can help doctors to diagnose diseases more accurately.
Fraud detection: Used to develop fraud detection systems that can help banks and other financial institutions to identify fraudulent transactions.

Artificial Intelligence and Deep Learning Quotes

“A breakthrough in machine learning would be worth ten Microsofts.” ~Bill Gates
“I think we see the merging of several worlds, the tech industry, the internet and the automotive industry. These two worlds merging is like a smart phone on wheels, or you can say it’s a car that has many of the capabilities of smart phones and computers and so on.” ~Dieter Zetsche.
“Here are a few supply chain trends should research if you want to innovate: Blockchain, Internet of Things (IoT), Big Data, 3D Printing, Artificial Intelligence (AI) , Deep Learning and Drones.” ~ SupplyChainToday.com.
“A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning.” ~Dave Waters
“This decade, for the auto industry, will be defined by the automation of the vehicle. From our standpoint, we see autonomous vehicles as the potential to have the same societal impact that Ford’s moving assembly line did more than 100 years ago.” ~Mark Fields.
“Take the self-driving car and the smartphone and put those together and think about how to manage a smart grid because suddenly you have all of this data coming from those two mechanisms that allow for a much higher level of allocating energy much more efficiently.” ~Jonathon Keats.

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