Deep Learning & Neural Networks

Dive deep into the world of neural networks and advanced deep learning architectures. This comprehensive course covers everything from basic perceptrons to state-of-the-art transformer models, equipping you with the skills to build and deploy sophisticated AI systems.

What You'll Learn:

• Neural network architecture and backpropagation fundamentals
• Convolutional Neural Networks (CNNs) for image processing
• Recurrent Neural Networks (RNNs) and LSTM for sequential data
• Advanced architectures: ResNet, Inception, Transformer models
• Transfer learning and fine-tuning techniques
• Deep learning frameworks: TensorFlow and PyTorch
• Model optimization and deployment strategies

Course Highlights:

• 60+ hours of advanced video content
• 25 real-world deep learning projects
• GPU cloud computing credits included
• Access to pre-trained models and datasets
• Advanced certificate of completion
• Direct mentorship opportunities