Dive deep into the world of neural networks with our comprehensive Deep Learning Specialization. This course takes you from basic neural network concepts to advanced architectures used in cutting-edge AI applications. Learn to build and train deep learning models using modern frameworks and techniques.
Throughout this specialization, you'll work on real-world projects involving computer vision, natural language processing, and sequence modeling. Gain practical experience with convolutional neural networks, recurrent neural networks, and transformer architectures that power today's most advanced AI systems.
Deep dive into neural network architecture, activation functions, and optimization
Image classification, object detection, and computer vision applications
Sequence modeling, LSTM, GRU, and time series analysis
ResNet, Inception, attention mechanisms, and transformer models
Leveraging pre-trained models and domain adaptation techniques
Model optimization, deployment, and scaling deep learning systems