Deep Learning Tutorial Videos 🔥[2026 Updated] | Simplilearn - How to Build Neural Network in Pytorch? | PyTorch Tutorial for Beginners | Simplilearn

🔥Cybersecurity Expert Masters Program - https://www.simplilearn.com/cyber-security-expert-master-program-training-course?utm_campaign=2AhiHV7QGVk&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IITM - AI-Powered Cybersecurity Mastery - https://www.simplilearn.com/ai-cybersecurity-course?utm_campaign=2AhiHV7QGVk&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IIITB - Advanced Executive Program in Cybersecurity - https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=2AhiHV7QGVk&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥 IITM - AI-Powered Cybersecurity Mastery - https://www.simplilearn.com/ai-cybersecurity-course?utm_campaign=2AhiHV7QGVk&utm_medium=DescriptionFFF&utm_source=Youtube In this video on how to build a neural network in PyTorch,we'll learn how to install the pre-requisite software needed, like Python, Anaconda, and Python, to create a simple neural network. Moving on, we know how the famous MNIST dataset can be used to predict dataset classes using a convolutional neural network(CNN) in this PyTorch Tutorial for Beginners. This is a thorough explanation and a step-by-step demo of creating neural networks using PyTorch from scratch. PyTorch Tutorial for Beginners covers the following topics ✅00:00- How to Build Neural Network in PyTorch? ✅02:21- Python installation ✅03:07-Anaconda installation ✅05:25-PyTorch installation ✅07:17-Build Neural Network for beginners ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check all Deep Learning Videos By Simplilearn: https://youtube.com/playlist?list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip #HowToBuildNeuralNetworkInPyTorch #PyTorchNeuralNetwork #NeuralNetworkUsingPyTorch #PyTorchInstallation #PyTorch #PythonInstallation #DeepLearning #DeepLearningWithPyTorch #PytorchTutorialForBeginners #ML2023 #MLTutorial #SimplilearnMachineLearning #Simplilearn PyTorch is an open-source Python library for deep learning developed and maintained by the Facebook AI lab. In this video, we created a neural network using the PyTorch library and the MNIST dataset. The fashion MNIST dataset can be used to train image classification models and has grown in popularity to evaluate how well machine learning algorithms and models perform. The fashion MNIST dataset is commonly used in CNN or convolutional neural networks. It is a deep neural network that performs image classification and processing tasks. It consists of several convolutional layers designed to automatically extract helpful information features from input image data. The fashion Mnist dataset is a collection of images of clothing items such as dresses, coats, t-shirts, etc. The fashion MNIST dataset of grayscale images is divided into test and train data sets where the training dataset consists of 60000 examples, and the test dataset consists of 10000 examples. 🔥 ️🔥 Michigan - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=06March2023PyTorchTutorial&utm_medium=Description&utm_source=youtube ➡️ About Cyber Security Expert Masters Program This cybersecurity expert program readies individuals for CEH, CompTIA Security+, and CISSP certifications, offering a holistic defense strategy against dynamic cyber threats. CEH emphasizes ethical hacking, CompTIA focuses on foundational security concepts, and CISSP covers advanced principles and management. ✅ Key Features - Simplilearn's JobAssist helps you get noticed by top hiring companies - Get Lifetime access to self-paced videos - CEH Exam Voucher with 6 months of complimentary iLabs access - Live Classes by Accredited instructors - Earn the requisite 30 CPEs required to take up the CISSP certification exam. - Simulation tests focused on exam preparation ✅ Skills Covered - Network Security - Risk Management - Network Packet Analysis - Asset Security - Disaster Recovery - Encryption - System Hacking - Malware Threats - Planning and Monitoring - Identity and Access Management - Forensics - Cryptography - System Penetration Testing - Incident Management - Pen Testing - Vulnerability Analysis - Software Development Security 👉 Learn More at: https://www.simplilearn.com/applied-ai-course?utm_campaign=06March2023PyTorchTutorial&utm_medium=Description&utm_source=youtube Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb