New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: * In this part we learn about activation functions in neural nets. What are activation functions, why are they needed, and how do we apply them in PyTorch. I go over following activation functions: - Binary Step - Sigmoid - TanH (Hyperbolic Tangent) - ReLU - Leaky ReLU - Softmax 📚 Get my FREE NumPy Handbook: 📓 Notebooks available on Patreon: ⭐ Join Our Discord : Part 12: Activation Functions If you enjoyed this video, please subscribe to the channel! Official website: Part 01: Code for this tutorial series: You can find me here: Website: Twitter: GitHub: #Python #DeepLearning #Pytorch ---------------------------------------------------------------------------------------------------------- * This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏