We begin with a simplified explanation of what neurons are and how they emulate the human brain's functionality to process and transmit data in machine learning models. You will learn about input and output neurons, as well as the role of bias neurons, to add flexibility to your models. Progressing further, we introduce the concept of activation functions, with a focus on ReLU (Rectified Linear Unit) and Softmax. We break down their mathematical intricacies and shed light on when and why to use these functions in your neural networks. Next up, we explore two essential neural network tasks: Classification and Regression. By presenting real-world examples and interactive code snippets in PyTorch, we help you differentiate between these tasks and understand how neural networks can be designed to solve them. Subsequently, we introduce you to the Linear layer in PyTorch. By discussing its role and importance in neural network architecture, we equip you with the knowledge to effectively implement and utilize linear transformations in your models. Towards the end of the video, we delve into the notorious 'Vanishing Gradient Problem', a challenge that often baffles beginners. We explain this issue in layman's terms and discuss solutions to overcome this problem, paving your way towards building more efficient and robust neural networks. Code for This Video: https://github.com/jeffheaton/app_deep_learning/blob/main/t81_558_class_03_1_neural_net.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - Coming soon 😸🐙 GitHub - https://github.com/jeffheaton/app_deep_learning ▶️ Play List -    • 2023 PyTorch Version Applications of ...   🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: null ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python