https://youtu.be/yZGOfQxL-7Q 4.1: Introduction to Neural Networks Biological vs. Artificial Neural Networks: Discuss similarities and differences between biological neural networks (like the human brain) and artificial neural networks. Neural Network Topologies: Explore different network topologies such as fully connected, locally connected, and sparse networks. How Neural Networks Learn: Explain the concept of learning in neural networks, […]
https://youtu.be/UHIJjYH9Zi4 Autograd, short for automatic differentiation, is a crucial component of modern machine learning frameworks like PyTorch, TensorFlow, and others. It enables automatic computation of gradients, which are essential for training machine learning models through techniques like gradient descent. Gradient: In the context of machine learning, a gradient represents the rate of change of a […]
https://youtu.be/WdBevhl5X0A?si=OtQowiw_3SgKke-0 1.1: What is PyTorch? PyTorch is an open-source machine learning library developed by Facebook’s AI Research lab (FAIR). It is primarily used for deep learning and is known for its flexibility, dynamic computation graph, and strong support for neural networks. PyTorch is based on the Torch library, and it provides a Python interface for […]
https://youtu.be/2deM80iuEYw In PyTorch, a tensor is a fundamental data structure that is used to represent multi-dimensional arrays. It is similar to NumPy arrays but has the added advantage of being able to run on GPUs, which makes it especially well-suited for deep learning and other machine learning tasks. Here are some key points about tensors […]
PyTorch is an open-source machine learning library for Python that provides a flexible and dynamic framework for building and training neural networks. It was developed by Facebook’s AI Research lab (FAIR) and has gained popularity in the machine learning and deep learning communities due to its ease of use and powerful capabilities. Here are the […]