1. What is Deep Learning?

First, we need to understand AI, Machine Learning and define deeper in Deep Learning

AI (Artificial Intelligence) covers many areas of research from genetic algorithms to expert systems, and provides scope for arguments about what constitutes AI.

(Deep learning)

In AI research, Machine Learning has enjoyed considerable success in recent years – allowing computers to surpass or come close to matching human performance in areas ranging from facial recognition to facial recognition. speech and language recognition. Machine Learning is the process of teaching a computer to perform a task, instead of programming it how to perform that task step by step.

Deep Learning is a subset of Machine Learning, capable of being different in some important respects from traditional shallow Machine Learning, allowing computers to solve a wide range of unsolvable complex problems.

2. AI Deep Learning is the combination of Human Insight and robots!

(Deep learning)

Deep learning can predict the next trend based on the recent human decision with high accuracy and personalization. Example: Google is recommending an ad for high-speed phone networks when you just bought a smartphone.

Algorithms generate deep learning, so to be able to use deep learning, it is necessary to start with the individual's tendency, and from there Deep Learning will recommend more relevant results.

Additionally, it can quickly analyze vast volumes of data to determine which ad creative would work best for the target market.

3. The revolution when using Deep Learning in the video advertising era 4.0

Deep learning can make a significant difference in efficiently gaining attention. In the past few years, especially from the pandemic, the percentage of people watching videos has increased significantly, which sets the stage for changing human habits and they are easily attracted to their trends with AI's help. These are some evidence when using deep learning in video advertising:

• Entertainment: Netflix and Amazon are enhancing their deep learning capabilities to provide personalized experiences for viewers by factoring their program preferences, visit time, history, and more. to recommend favorite shows to a particular viewer.

• Visual recognition and photo description: Image recognition technology is a technology based on digital image processing technology and using artificial intelligence technology, especially this method will make the computer recognize the content inside from a or more pictures.

Facebook successfully used face recognition a few years ago when suggest tagging not only the owner of the photo but also their friends in the photo that was connected on this platform.

Youtube is one of the social networks using deep learning to apply to customer behavior. When you watch financial videos, the video advertising about financial and investment courses will immediately appear on this platform. This means both Facebook and Youtube have deep learning about you to personalize the appropriate video advertising for you.

4. How does it help?

(Deep learning)

AI Deep Learning Technology has given computers superhuman abilities, such as the capacity to detect speech nearly as well as a human person, a capability that is difficult to program manually. Computer vision and machine translation have both been greatly enhanced by deep learning. Today, it is employed to direct and improve a variety of crucial business, marketing, and medical procedures.

• Targeting your customer

Deep Learning is also capable of supporting a variety of targeting techniques. The advertiser employs contextual, behavioral, or demographic data input to AI Deep Learning on some platforms such as Google Ads and Facebook Ads to use AI to target the customer. This enables content to be modified in accordance with the preferences of the target audience.

• Efficient at Delivering High-quality what consumers need

Once properly taught, a deep learning brain can complete thousands of repetitive, mundane activities faster than it would take a person, and the quality of its work never decreases

• Giving us results with Unstructured Data

The majority of a company's data or any data is stored in unstructured formats including words, images, PDF files, and more, up to 80% of it is unstructured, according to research from Gartner. Deep learning algorithms use to find unstructured data difficult to evaluate, and also underutilized.

5. Advantages and disadvantages of Deep Learning

Advantages

• Deep Learning is a huge turning point in the field of artificial intelligence, allowing other data scientists to build many highly accurate models in the fields of image recognition, natural language processing, and processing. speech processing, etc. Some outstanding advantages of Deep Learning include:
• The neural network architecture is flexible, which can be easily changed to suit a variety of problems.
• Capable of solving many complex problems with very high accuracy.
• High automation, self-adjusting, and self-optimizing.
• Capable of performing parallel computing, good performance, handling large amounts of data.

Disadvantages

Besides the advantages, at present, Deep Learning still has many difficulties and limitations:

• Huge volumes of data are required to take full advantage of Deep Learning's capabilities.
• The computational cost is high because it has to deal with many complex models.
• There is no strong theoretical foundation to choose the optimal tools for Deep Learning.

6. What does Deep Learning mean for Video Advertising

Deep Learning technology will revolutionize 2022 digital video marketing for companies. It helps the advertiser determine by targeting consumers to receive the right content at the right time. By prioritizing total video views above quality viewers, businesses are really reaching too many people for their digital video initiatives to be effectively optimized, Deep learning will change this by identifying a quality audience rather than reaching a wide range of audiences

(Deep learning)

7. Conclusion

This is not exactly a new field, but the explosion of data in recent years has helped scientists to take full advantage of the capabilities of artificial neural network models, setting the stage for new research and solving many problems that seemed impossible many years ago. Especially in video advertising

papmall® Team

• [email protected]
• +65 6681 6728
• www.papmall.com