Topics covered in this video: 00:00:00 Introduction 00:00:32 Agenda 00:00:58 How Deep Learning Changed Our World 00:07:04 What is deep learning 00:10:18 What is a Neural Network 00:16:28 Programming Languages you could use 00:18:08 Python for Deep Learning 00:19:00 Pytorch 00:21:48 Major Pytorch Concepts 00:35:06 Pytorch Use Case 🔥Edureka Tensorflow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow This Edureka PyTorch for Deep Learning video (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of PyTorch. It also includes a use-case in which we will create an image classifier that will predict the accuracy of an image data-set using PyTorch. 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV ------------------------------------Edureka Online Training and Certification--------------------------------- 🔵 DevOps Online Training: https://bit.ly/2BPwXf0 🟣 Python Online Training: https://bit.ly/2CQYGN7 🔵 AWS Online Training: https://bit.ly/2ZnbW3s 🟣 RPA Online Training: https://bit.ly/2Zd0ac0 🔵 Data Science Online Training: https://bit.ly/2NCT239 🟣 Big Data Online Training: https://bit.ly/3g8zksu 🔵 Java Online Training: https://bit.ly/31rxJcY 🟣 Selenium Online Training: https://bit.ly/3dIrh43 🔵 PMP Online Training: https://bit.ly/3dJxMTW 🟣 Tableau Online Training: https://bit.ly/3g784KJ -----------------------------------------Edureka Masters Programs--------------------------------------------------- 🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp 🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ 🔵Data Scientist Masters Program: https://bit.ly/2YHaolS 🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv 🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi 🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2 🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb 🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf -----------------------------------------Edureka PGP Courses--------------------------------------------------- 🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1 🟣CyberSecurity PGP: https://bit.ly/3eHvI0h 🔵Digital Marketing PGP: https://bit.ly/38cqdnz 🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC 🔵Data Science PGP: https://bit.ly/3dIeYV9 🟣Cloud Computing PGP: https://bit.ly/2B9tHLP ----------------------------------------------------------------- Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_lea... Facebook: https://www.facebook.com/edurekaIN/ SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?count... Meetup: https://www.meetup.com/edureka/ #edureka #DeepLearningEdureka #PyTorchTutorial #DeepLearning #Pythontutorial #Pythononlinetraining #Pythonforbeginners --------------------------------------------------------------- How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies - - - - - - - - - - - - - - For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).