Features
- Grow career opportunities with our Deep Learning Course
- Implementing Deep Learning models in live coding sessions
- Understand how Deep Learning works
Course Description
Understand how Deep Learning works which is a subset of Artificial Intelligence (AI) that focuses on structure and function of the human brain’s neural networks and learn to implement deep learning models for real-world scenarios.
Deep Learning is the gateway towards advanced AI solutions that includes innovative image and speech recognition solutions, natural language processing, autonomous vehicles, and predictive analytics. Deep Learning will allow you to master how Artificial Neural Network works which is critical for Gen AI solutions.
Through hands-on workshops, delegates understand neural networks, convolutional and recurrent neural networks, and their applications.
What You’ll Learn From This Course
- Gain an in-depth understanding of the various algorithms of Deep Learning
- Master Artificial Neural Networks, CNN and RNN
- Apply DL algorithms for image and speech recognition
- Perform statistical analysis on data using Python
- Create and deploy prediction models
- Learn all Python libraries for DL
Who should join?
- Data Analysts
- AI Engineers
- Machine Learning Engineers
- Research Scientists
- Artificial Intelligence (AI) Product Managers
Curriculum
- 7 Sections
- 31 Lessons
- 2 Days
Expand all sectionsCollapse all sections
- Module 1: Machine Learning Basics4
- Module 2: Introduction to Deep Learning3
- Module 3: Artificial Neural Network2
- Module 4: How Deep Learning Works5
- Module 4: Deep Neural Networks9
- Module 5: Linear Algebra2
- Module 6: Probability6
Deep Learning imitate human brain functions, processing data in complex layers for tasks like image recognition and language processing using artificial neural networks.
Machine learning focuses on algorithms learning from data to make predictions, while deep learning focuses on datasets of large variable size and layers to model complex patterns using neural networks.
The Deep Learning Training enhances skills in building neural networks, improving AI model performance, creating image recognition models and understanding algorithms.
For this Deep Learning Course, delegates should have a basic understanding of Python, Linear Algebra, and Probability.
This Deep Learning Online Training includes hands-on coding sessions to create image recognition models, study material (PDF), and a certificate after course completion.
This course takes 2-days to complete.
In this Deep Learning course, you will learn to design, build, and optimize neural networks, understand key algorithms and implement deep learning models.
Prior experience in machine learning, or data science is beneficial, it is not essential. The course is designed to accommodate beginners.
Whereas, basic understanding of Python programming is required.
With this training, you can start your career as Data Scientist, Machine Learning Engineer, AI Specialist, Deep Learning Engineer, and Research Scientist.
Yes, the training includes hands-on activities, where you will work on building and training neural networks and solving real-world problems to reinforce theoretical concepts.
Lessons: