Artificial Intelligence Complete Course: Deep Learning Course Malaysia
This makes a great of machine learning adds extra elements – this opportunity to damage the pedals after our own proverbs. We can use machine learning techniques, not for TV races and board games, but for our own complex and related to your business. In other words, it can make you money.
How Can Deep Learning Help My Business?
It’s easy to understand that companies like Google, Facebook, Amazon, Apple, and other learning machines are powerful tools for they. They are in the big data business. But from the above can be seen, beer, personal loans, oil wells, basketball – most companies are the same, or soon in the future. “Big data” has been used for several years. Most companies are on the train. The CEO and CTO acknowledge that there is value in collecting all the data in the business process for future market! Deep learning will help companies develop less retrograde and predictive models in terms of revenue, and what to do or build or prepare in your business is more thorough. Companies like Google, Facebook, Amazon, Apple have already begun offering a lot of software tools to get started. They will also provide engineering help (price) to get you started. Without question, driving millions of kilometers away, IBM Watson diagnosed patients better than doctors, Google Deepmind AlphaGo has beaten Go world champion last few month.
But the progress of AI – Artificial Intelligence – Deep Learning further, the more complex the problem. Only deep learning can solve complex problems, which is the cause of artificial intelligence.
Who Should Join This Artificial Intelligence – Deep Learning Workshop
You can see that there are many different tools in the field of learning. In this course we will show you the most important and up-to-date tools so that when you have finished studying from 0 till 100, your skills are sophisticated today’s technology.
A real world deep learning case study
Mastering in immersive learning is not just about intuitions and tools, but also apply these models to real-world scenarios and achieve measurable results for businesses or projects. That’s why we introduced exciting challenges in this deep learning course for you, will bring you into Artificial Intelligence network.
In this deep learning chapters:
1 Deep Learning Churn Model
Your goal is to create an artificial neural network that can be used to predict any individual customer who leaves the bank or resides (customer churn) based on the geographical demographic information and transaction information described above. In addition, you are required to rate all customers based on the probability of their departure. To do this, you need to use the correct depth learning model, model based on probabilistic method.
2 Deep Learning into Image Recognition
Creates a convolutional nerve network or we called CNN detects multiple objects in the image. We will implement this depth learning model to identify a group of lions or tigers in a set of images. However, this model can be reused for any other content, and we will tell you how to do it by simply changing the image in the input datasets folder.
3 Deep Learning -Stock Price Prediction Model
You will create a depth learning model in deep learning – that is closest to Artificial Intelligence. This is because the model will be long memories, just like us, humans. A significant improvement in the frequent neural network has led to the popularity of (long time memory RNN), which completely changed the AI Artificial Intelligence playground. We are very excited to incorporate these cutting-edge in-depth learning methods into our deep learning courses! We will take the challenge to use it to predict the real Google stock market price.
4 Deep Learning – Fraud Detection Model
Market and market forecast fraud predicted market forecasts will reach $ 331.9 billion in 2021. This is a huge industry, the demand for complex depth of learning skills will only grow. That’s why we included the reason for this case study in this deep learning course. Unsupervised Deep Learning Models, here is the data provided by the customer when completing the application form. Your job is to detect possible fraud in this application. This means that before the end of the challenge, you’ll be providing a clear list of customers who are cheat their own application of credit card.
5 Deep Learning – Recommender Systems Model
Suggestions – A good recommendation system is very valuable in today’s business world. And the experts who created it were some of the achievements that several scientists had done in Artificial Intelligence Network World. We will deal with a set of data that has the same functionality as the Facebook data set: a large number of images, and thousands of users evaluating the images / video they are watching. Rating from like, wow, love, angry, as in Facebook datasets, this makes building systems more complicated than if the ratings just “like” or “dislike”. In this recommender model will be the political network of the composite machines. Then our model will be my powerful AutoEncoders, my personal favorite. You will appreciate their simplicity and the difference they can afford.
What you going to get from this course?
- What is the intuition behind Deep Learning – Artificial Neural Networks
- Apply Artificial Neural Networks in your real world situation
- Find out the intuition behind Convolutional Neural Networks – CNN
- Apply your Convolutional Neural Networks in business world
- Apply Recurrent Neural Networks in practice
- Understand the intuition behind Self GPS – Organizing Maps
- Apply Self-Organizing Maps in human daily life
- Understand the intuition behind AutoEncoders
- Apply AutoEncoders in practice