Description
Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge.
Deep learning is an important element of data science that helps data scientists to collecting, analyzing and interpreting large amounts of data.
Deep learning has its roots in neural networks, Neural networks are sets of algorithms, modeled loosely after the human brain, that are designed to recognize patterns.
This online course created by our Deep Learning experts teaches how to create Deep Learning algorithms in Python that includes more than 35 hours of video lectures.
Why Should You Learn Deep Learning with Python?
| Cutting-Edge Technology | Deep Learning is in the front of AI developments, fueling breakthroughs in a wide variety of fields. |
| AI Applications | Image recognition, NLP, and other forms of artificial intelligence are all made possible through deep learning. |
| Data Analysis | Using Deep Learning, large and complicated datasets may be broken down and understood. |
| Automated Decision Making | Automated decision-making is made possible by DL algorithms, which leads to greater productivity. |
| Personalized Experiences | Applications and services may now provide users with more tailored experiences thanks to Deep Learning. |
| Career Opportunities | Gaining expertise in Deep Learning can pave the way to rewarding jobs in the fields of artificial intelligence and machine learning. |
| Python Language | As a widely used language, Python makes Deep Learning accessible to programmers. |
| Innovation and Research | You can make important contributions to cutting-edge research and developments if you learn DL. |
| Real-World Applications | Several real-world industries can benefit from Deep Learning, including medicine, finance, and self-driving cars. |
| Future-Proof Skills | Mastering Deep Learning will set you up for success in today's competitive job market and the AI-powered future. |
What you will learn?
You will learn Deep learning with Natural Language Processing, Transformers, Cloud and MLOps.
- The basics of machine learning and neurons
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Build a neural network in Theano
- Understand the intuition behind Recurrent Neural Networks
- How to model text data for natural language processing
- Write a neural network using Keras
- Understand the basic building blocks of Theano
- Understand the intuition behind Convolutional Neural Networks
- How to model image data in code
- Apply Convolutional Neural Networks in practice
- Apply Artificial Neural Networks in practice
- Understand the intuition behind Artificial Neural Networks
- Apply Self-Organizing Maps in practice
- Understand the intuition behind Self-Organizing Maps
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Understand the difference between full gradient descent, batch gradient descent, and stochastic gradient descent
Course Duration
- 400 Lectures and 30 Hours of on Demand HD Videos
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
- 9877+ students enrolled
- Complete Practical Training
- Download access
- Watch Videos in Android and iOS App