Deep Learning Fundamentals - Intro to Neural Networks

"Deep Learning Fundamentals - Intro to Neural Networks" is a foundational course that introduces you to the essential concepts and techniques of deep learning. You'll learn about the architecture of neural networks, including key components like neurons, activation functions, and training methods. Through hands-on projects, you'll build and train neural networks using frameworks such as TensorFlow or PyTorch, and apply them to real-world problems like image classification and text analysis. By the end of the course, you'll have a solid grasp of deep learning principles and practical skills for developing neural network models.