Data Science & AI
advanced
Deep Learning & Neural Networks
A comprehensive course covering Deep learning. Topics include neural network architecture, backpropagation, CNNs, RNNs, transfer learning, TensorFlow, PyTorch, natural language processing, and computer vision. Designed for advanced level learners.
12 hours
3 modules
12 lessons
0 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Neural Network Architecture
4 lessons
Neural Network Architecture
29 min
Backpropagation
32 min
CNNs
28 min
Applying Neural Network Architecture
24 min
Understanding Transfer Learning
4 lessons
RNNs
30 min
Transfer Learning
30 min
TensorFlow
24 min
Applying RNNs
23 min
Working with Natural Language Processing
4 lessons
PyTorch
34 min
Natural Language Processing
24 min
Computer Vision
35 min
Applying PyTorch
22 min