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💻 For real-time updates on events, connections & resources, join our community on WhatsApp: https://jvn.io/wTBMmV0 Using GPU to train Deep Neural Networks, Creating a multilayer neural network using nn.Module, Classifying images from the Fashion MNIST Dataset and much more. This lecture is part 3/6 of the Deep Learning with PyTorch Free Certification course. To learn more visit https://jovian.ai/learn/deep-learning... Time Breaks: 00:00 Introduction 2:54 Training Deep Neural Network on a GPU 15:45 Hidden Layers, Activation Functions and Non-Linearity 35:49 Defining our Model 45:05 Using a GPU 56:59 Training the Model 1:17:59 Classifying Images from Fashion MNIST (Feedforward Networks) 1:27:24 Assignment 3 - Feedforward Neural Networks 1:42:03 Course Overview 1:43:45 What to do next? Code and Resources: 🔗 Feedforward neural networks: https://jovian.ai/aakashns/04-feedfor... 🔗 Neural networks (minimal): https://jovian.ai/aakashns/fashion-fe... 🔗 Data Visualization Cheatsheet: https://jovian.ai/aakashns/fashion-fe... 🔗 Discussion forum: https://jovian.ai/forum/t/lecture-3-t... Topics covered in this video: ⌨️ Working with cloud GPU platforms like Kaggle & Colab ⌨️ Creating a multilayer neural network using nn.Module ⌨️ Activation function, non-linearity, and universal approximation theorem ⌨️ Moving datasets and models to the GPU for faster training Deep Learning with PyTorch: Zero to GANs is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. You can learn more and register for a Free Certificate of Accomplishment at http://zerotogans.com. This course is taught by Aakash N S, co-founder & CEO of Jovian - a platform for sharing, showcasing and collaborating on data science projects online. -- Learn Data Science the right way at https://www.jovian.ai Interact with a global community of like-minded learners https://jovian.ai/forum/ Get the latest news and updates on Machine Learning at / jovianml Connect with us professionally on / jovianml Subscribe for new videos on Artificial Intelligence / jovianml