Deep Learning falls directly under machine learning, which is home to complicated and structured neural networks designed to operate much like the human brain. Calculations done in the deep learning algorithm allow your AI-powered application or service to learn and adapt from reading large data, which can then be used to predict and improve results over time repeatedly.
In this article, we’ll look see which skills required for deep learning. This helps you to understand the core and essential skills required to become Deep Learning engineer.
Many technologies today use deep learning, and there’s no denying that the future of humanity lies in the harmony of artificial intelligence and human interaction. Smart technology in cars, homes, and gadgets utilizes deep learning systems to make work more efficient and less time-consuming.
Some of the more practical uses for deep learning include language processing, visual recognition, healthcare, and even the detection of developmental delays in children. The possibilities are nearly endless when you consider the speed at which computing power is evolving in technology.
Deep learning engineers are comparable to computer scientists, but they only specialize in the platforms needed for the systems they develop. These engineers’ goal is to design programming systems that capitalize on the simulation of brain-like functions in AI-powered services.
We’ve also listed the top 15 best Deep learning course to take online from home.
Prerequisites of Deep Learning
The skills required for deep learning aren’t as complicated as you might think, but what an aspiring research engineer in the field needs isn’t the number of skills but quality. It should be noted most people who go on to become successful deep learning engineers develop their skills over time and not just overnight.
With proper dedication and the passion for achieving one’s goals, a career in deep learning is attainable as long as you’re willing to put in the right effort. It takes a lot to pursue a career as complicated as this. Still, some of the deep learning most sought-after skills are innately human characteristics, making it possible for people from every walk of life.
Many deep learning engineers share a common ground regarding the type of mindset and attitude they have towards their work, and that goes with other related careers. An engineer in this field needs to have the natural ability to cooperate and work inside a specialized team and have the necessary analytical and problem-solving skills to make work faster and easier.
Here are some of the prerequisites for deep learning to learn it:
- Programming: One of the rudimentary skills of every research engineer is programming, and being familiar with different languages is also a must. Most deep learning engineer skills comprise professional expertise in Python or R because of the flexibility and features they have. Python is very useful if you want to apply pinpoint accuracy in applications related to data science, machine learning, and even application development. At the same time, R focuses on the uses of data science and AI.
- Statistics: It shouldn’t be a surprise that mathematics plays a big part in the deep learning skills needed to succeed. However, you need to focus on data and visualization of essential information required in processing data science. Statistics is a vital ingredient in deep learning as the knowledge in making charts, graphs and understanding interweaved relations between data will help you tackle samples and information more accessible.
- Calculus: As one of the core mathematical processes behind most machine learning algorithms, Calculus needs to be on your list for deep learning engineer skills. As a deep learning engineer, creating models to represent data will become one of the critical skills you’ll need to master, and Calculus can help you with that.
- Probability: Understanding the nature of probability will significantly help you predict the outcome of deep learning models built for prediction and analysis. The models need to be fine-tuned to adapt to specific developments before they happen, making probability a must-have in your deep learning skills portfolio.
- Data Science: As you may have already noticed, data science is one of the most mentioned fields of study in the world of deep learning. Data science is the process of analysis and data manipulation to gain deep learning models and algorithms.
Familiarity with the different concepts in data science will help with the creation of data-handling models. Data science excels in utilizing prediction models for sales, customer behavior, and even trends on the world market.
Best Courses to Learn Deep Learning
To educate oneself with deep learning at home used to be difficult in the past, especially for people who don’t have access to libraries or conventional transport. However, the internet evolves every second, and ironically speaking, deep learning plays a huge role in creating opportunities for people to learn about the industry more and more each day.
Here are some of the best learning resources to train yourself on Deep Learning:
- Deep Learning Nanodegree Program – Udacity (Our Top Recommendation)
- Deep Learning Course A-Z Trademark: Hands-On Artificial Neural Networks – Udemy
- Modern Deep Learning Course in Python
- Data Science: Deep Learning Course in Python
- Introduction to Practical Deep Learning
- Deep Learning Certification by IBM – edX
- Neural Networks and Deep Learning Certification – Coursera
Once you have taken the course, you can practice more by working on more projects. To help you with this we’ve compiled the list of best Deep Learning projects to take on. This makes you more skilled and can put your essential skills learned to practice.
Salary of Deep Learning
As of March 2021, a deep learning research engineer makes about $137,801 per year in the United States, and some of the most companies that offer the highest paychecks are:
- Selby Jennings
- The Climate Corporation
- NextGen Global Resources
- Samsung Electronics
It should also be noted that although a Deep Learning Engineer makes more than 100k a year, opportunities for a salary increase are rare, even for those with positions in large companies.
Benefits of Deep Learning
While you may think that the prerequisites for starting a career in deep learning seem to be extensive and complicated, the benefits of this field far outweigh the time and resources required to enter it. Some of the real-world applications for deep learning include innovations in law enforcement, healthcare, and financial services and the possibilities continue to increase.
Summary: Which Skills Required for Deep Learning
The road to becoming a deep learning engineer may not be as easy as other professions. Still, with the help of this article and the courses we’ve recommended above, hopefully, you can decide to start learning today. The deep learning industry is evolving in the same direction that our society is looking to in the future, making it an obvious choice for a potential career.
I hope this article on which skills required for deep learning was helpful to you to understand the necessary skills to master.
* We sometimes use affiliate links in our content, meaning we’ll receive a commission when you buy something via links. This won’t cost you anything but it helps us to offset the costs of our editorial team and keeps this website alive.