Who is this class for?
This beginner course on deep learning is designed for individuals who are new to the field of artificial intelligence and machine learning. It is ideal for students, professionals, or anyone with a keen interest in understanding the fundamentals of deep learning but may not have prior experience. The course is especially suitable for those who want to explore how deep learning can be applied across various domains, from computer vision to natural language processing.

What will the students learn in this class?
In this course, students will gain a foundational understanding of deep learning concepts. The session will cover the basics of neural networks, including their structure, activation functions, and learning processes. Participants will be introduced to popular architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), understanding how they are used in tasks like image recognition and sequence modeling. The course will also include a hands-on coding exercise where students will build and train a simple neural network using Python and TensorFlow or PyTorch.

Is there anything the students need to bring to the class?
Students are encouraged to bring their laptops with Python and a deep learning framework like TensorFlow or PyTorch pre-installed. A basic understanding of Python programming will be helpful. The class will be conducted in a friendly and interactive environment, so come prepared with questions and an eagerness to learn.