Week 1: Introduction to Deep Learning
Explore the basics of deep learning, neural networks, and their applications 🚀.
Course Syllabus
Week 2: Neural Network Architectures
Dive into different architectures such as CNNs, RNNs, and more 🔍.
Week 3: Training Deep Networks
Learn about backpropagation, gradient descent, and optimization techniques.
Week 4: Deep Learning Tools and Frameworks
Get hands-on with popular frameworks like TensorFlow and PyTorch 💻.
Week 5: Applications of Deep Learning
Understand how deep learning is applied in different fields, from language processing to self-driving cars! 🚗🤖
Week 6: Project and Review
Work on a real-world project and review key concepts.