Coursera offers deep learning courses if you are interested in deep learning. The Deep Learning specialization has become one of the most popular courses. This course teaches students how to build models that can be used in speech recognition, natural language understanding, machine translation, and more. The Keras library is a Python framework that lets you train deep learning models yourself.
Coursera
Coursera's courses on neural network are great introductions. They cover optimization algorithms and standard NN techniques. There is also a range of advanced topics, including deep learning applications. Along with the core NN topics you will also learn how vectorized and neural networks are built, as well strategies for reducing errors within ML systems. Coursera courses may even show you how to use neural networking for multi-tasking learning.
Andrew Ng
Andrew Ng offers a course on Machine Learning that will help you get started if neural networks interest you. The course covers the same information, but it uses Python and C++. Despite its simplicity the course's content remains comprehensive. This makes it ideal for beginners. The instructor is an excellent teacher. Although you might feel overwhelmed initially, you will soon be able to embrace this amazing new technology.
Coursera Deep Learning
The best Coursera deep learning courses teach the theory and practical applications of deep learning, as well as best practices. Clear materials and programming assignments are provided. Expert instructors also assist students. Here are the pros/cons of each course.
Keras library
This course will help you learn how to build deep learning models using Keras for Python. Deep learning is a branch of machine-learning that relies on artificial neural networks, which mimic the human brain structure. Keras can help you pursue a career in data analysis, software engineering, and bioinformatics. The coursera program is free, and there are over a dozen video lectures and interactive exercises.
Classification in neural networks
Students interested in learning more on Classification in Neural Networks can choose from a variety of options. Andrew Ng will teach this course. Andrew Ng teaches this course. I didn't complete the programming assignments and so I'm not certain if I will gain any new knowledge. It's a great way of getting started in this fascinating field.
Benefits of working with real-life material
In the coursera neural networks specialization, you can learn about neural networks from a range of real-life materials, including video, audio, and images. Deep learning can also be applied to healthcare, autonomous driving, natural language processing, and sign language. Working with real-life materials offers excitement and practical results. You can learn from professionals in these areas to help you move up the ladder. This Coursera course makes a good starting point.
FAQ
What are some examples AI apps?
AI is used in many fields, including finance and healthcare, manufacturing, transport, energy, education, law enforcement, defense, and government. Here are just a few examples:
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Finance - AI is already helping banks to detect fraud. AI can identify suspicious activity by scanning millions of transactions daily.
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Healthcare – AI helps diagnose and spot cancerous cell, and recommends treatments.
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Manufacturing - AI in factories is used to increase efficiency, and decrease costs.
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Transportation - Self driving cars have been successfully tested in California. They are currently being tested around the globe.
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Energy - AI is being used by utilities to monitor power usage patterns.
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Education - AI is being used for educational purposes. Students can use their smartphones to interact with robots.
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Government - AI can be used within government to track terrorists, criminals, or missing people.
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Law Enforcement – AI is being utilized as part of police investigation. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense – AI can be used both offensively as well as defensively. Offensively, AI systems can be used to hack into enemy computers. Defensively, AI can be used to protect military bases against cyber attacks.
Are there potential dangers associated with AI technology?
Of course. There will always exist. Some experts believe that AI poses significant threats to society as a whole. Others believe that AI is beneficial and necessary for improving the quality of life.
AI's greatest threat is its potential for misuse. If AI becomes too powerful, it could lead to dangerous outcomes. This includes autonomous weapons and robot rulers.
Another risk is that AI could replace jobs. Many people fear that robots will take over the workforce. Others believe that artificial intelligence may allow workers to concentrate on other aspects of the job.
Some economists believe that automation will increase productivity and decrease unemployment.
How does AI function?
An artificial neural networks is made up many simple processors called neuron. Each neuron receives inputs from other neurons and processes them using mathematical operations.
Neurons can be arranged in layers. Each layer performs a different function. The raw data is received by the first layer. This includes sounds, images, and other information. It then passes this data on to the second layer, which continues processing them. The last layer finally produces an output.
Each neuron also has a weighting number. This value is multiplied when new input arrives and added to all other values. If the number is greater than zero then the neuron activates. It sends a signal to the next neuron telling them what to do.
This process repeats until the end of the network, where the final results are produced.
Is Alexa an artificial intelligence?
The answer is yes. But not quite yet.
Amazon has developed Alexa, a cloud-based voice system. It allows users to interact with devices using their voice.
The Echo smart speaker, which first featured Alexa technology, was released. Other companies have since used similar technologies to create their own versions.
These include Google Home as well as Apple's Siri and Microsoft Cortana.
Statistics
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
External Links
How To
How to setup Google Home
Google Home is a digital assistant powered by artificial intelligence. It uses natural language processors and advanced algorithms to answer all your questions. Google Assistant lets you do everything: search the web, set timers, create reminds, and then have those reminders sent to your mobile phone.
Google Home integrates seamlessly with Android phones and iPhones, allowing you to interact with your Google Account through your mobile device. By connecting an iPhone or iPad to a Google Home over WiFi, you can take advantage of features like Apple Pay, Siri Shortcuts, and third-party apps that are optimized for Google Home.
Google Home, like all Google products, comes with many useful features. It can learn your routines and recall what you have told it to do. You don't have to tell it how to adjust the temperature or turn on the lights when you get up in the morning. Instead, just say "Hey Google", to tell it what task you'd like.
These are the steps you need to follow in order to set up Google Home.
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Turn on your Google Home.
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Hold the Action button at the top of your Google Home.
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The Setup Wizard appears.
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Continue
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Enter your email address.
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Select Sign In.
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Google Home is now available