Deep Learning (DL) is one of the fastest-moving and promising segments of Artificial Intelligence. Deep Learning is a subset of Machine Learning (ML) in Artificial Intelligence (AI) that has systems capable of learning unsupervised from information that is unstructured or unlabeled. This course is a continuation of our machine learning training which is aimed at created trained professionals in this sector. The course will cover the most recent concepts of Deep Learning and relevant hands-on using Python.
Duration: 30 Hours
Level: Beginner to Intermediate
Fees: BDT. 12000
Platform: Online (Live)
Batch Details
| Regular Batch | |
|---|---|
| Day | Sun, Tue, Thurs |
| Time | 3 PM – 5 PM |
| Instructor | Munir Uddin Ahmed |
- Knows programming language
- Have a basic idea of Machine Learning
- Preferred: basic level expertise in Math and Statistics
How to apply Deep Learning(DL) using Python
About important Python libraries
About Different Types of Deep learning
How to move forward with a DL career
How to target real-world problems with DL
About Different Neural Networks and Their Use
- Introduction to Deep Learning
- Artificial Neural Networks
- Evaluating, Improving, and Tuning the ANN
- Convolutional Neural Networks
- Building the CNN
- Recurrent Neural Networks
- Building the RNN
- Self Organizing Maps
- Building the SOM
- Boltzmann Machines
- AutoEncoders
- Recurrent Neural Networks
Munir Uddin Ahmed
B.Sc. in Mechanical Engineering BUET (2000) and Post Graduate Diploma in Computing, Computer Science. He has 18 years of experience in software development. He is a dynamic leader of cross-functional software teams offering 16 years of experience in managing local and international mission-critical projects. He is an experienced trainer in different hard and transferable skills. Experienced in implementing different software architectures, coding working prototypes including AI integrated, IoT, and cloud-based solutions. He is an experienced C-level technical lead responsible for formulating and executing the vision and strategy of the business and technical aspects of organizations.
Course Fee: BDT. 12000
Discounts:
Super Early Bird: 30%
(Register 30 Days Early)
Early Bird: 20%
(Register 7 Days Early)
Group of Five: 15%
Group of Three: 10%
Deep Learning (DL) is one of the fastest-moving and promising segments of Artificial Intelligence. Deep Learning is a subset of Machine Learning (ML) in Artificial Intelligence (AI) that has systems capable of learning unsupervised from information that is unstructured or unlabeled. This course is a continuation of our machine learning training which is aimed at created trained professionals in this sector. The course will cover the most recent concepts of Deep Learning and relevant hands-on using Python.
- Duration: 30 Hours
- Lectures: 12
- Fees: BDT. 12000
- Platform: Online (Live)
- Level: Beginner to Intermediate
Batches Details
| Regular Batch | |
|---|---|
| Day | Sun, Tue, Thurs |
| Time | 3 PM – 5 PM |
| Instructor | Munir Uddin Ahmed |
- Knows programming language
- Have a basic idea of Machine Learning
- Preferred: basic level expertise in Math and Statistics
How to apply Deep Learning(DL) using Python
About important Python libraries
About Different Types of Deep learning
How to move forward with a DL career
How to target real-world problems with DL
About Different Neural Networks and Their Use
- Introduction to Deep Learning
- Artificial Neural Networks
- Evaluating, Improving, and Tuning the ANN
- Convolutional Neural Networks
- Building the CNN
- Recurrent Neural Networks
- Building the RNN
- Self Organizing Maps
- Building the SOM
- Boltzmann Machines
- AutoEncoders
- Recurrent Neural Networks
Munir Uddin Ahmed
B.Sc. in Mechanical Engineering BUET (2000) and Post Graduate Diploma in Computing, Computer Science. He has 18 years of experience in software development. He is a dynamic leader of cross-functional software teams offering 16 years of experience in managing local and international mission-critical projects. He is an experienced trainer in different hard and transferable skills. Experienced in implementing different software architectures, coding working prototypes including AI integrated, IoT, and cloud-based solutions. He is an experienced C-level technical lead responsible for formulating and executing the vision and strategy of the business and technical aspects of organizations.
Course Fee: BDT. 12000
Discounts:
Super Early Bird: 30%
(Register 30 Days Early)
Early Bird: 20%
(Register 7 Days Early)
Group of 5: 15%
