Deep Learning
Master the fundamentals of Deep Learning and neural networks with hands-on projects. Learn about artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep learning frameworks like TensorFlow and PyTorch.
Satyajit Pattnaik
Instructor
What you will learn?
- Understand Deep Learning Fundamentals
- Build Neural Networks from Scratch
- Work with Deep Learning Frameworks
- Work on Real-World Projects
This Course Includes
- Recorded Lessons: 33
- Recorded Hours: 6
- Duration: 6 days (Avg)
- TD Assessment Available
- Access on Mobile
Course Description
This Deep Learning course is designed to help you understand and master the core concepts of deep neural networks. You will learn how to build, train, and optimize deep learning models using frameworks like TensorFlow and PyTorch. The course covers essential topics such as artificial neural networks (ANNs), convolutional neural networks (CNNs) for image processing, recurrent neural networks (RNNs) for sequence data, and deep reinforcement learning.
Through practical hands-on projects, you will gain experience in solving real-world problems in fields like computer vision, natural language processing (NLP), and AI-driven applications. Whether you're a beginner or an experienced data scientist, this course will equip you with the knowledge and skills to implement cutting-edge deep learning solutions.
Course Content
33 Lessons | 5hr 50min
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