Deep Learning Neural Networks

Course Overview

Master the art and science of deep learning with this advanced course covering neural network architectures, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models. Learn to build sophisticated AI systems using TensorFlow and PyTorch frameworks. This course includes extensive hands-on projects in image classification, sequence modeling, and generative AI.

What You'll Learn

• Neural network fundamentals and backpropagation
• Convolutional Neural Networks for computer vision
• Recurrent Neural Networks and LSTM architectures
• Transformer models and attention mechanisms
• Transfer learning and fine-tuning strategies
• Advanced optimization techniques and regularization
• Practical implementation with TensorFlow and PyTorch

Course Details

• 60 hours of content
• 220+ video lectures
• 35 coding exercises
• 8 advanced projects
• Certificate of completion
• Lifetime access