Updated September 2026, 1 week ago
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๐ฅ๐ฅPost Graduate Program in Generative AI and ML: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood
This Deep Learning Full Course by Edureka is your complete guide to mastering the latest in deep learning and artificial intelligence. Designed for beginners and professionals alike, this tutorial covers everything from the fundamentals of neural networks to advanced applications using TensorFlow 2.0 and Keras. Youโll explore cutting-edge techniques like transformer architectures, attention mechanisms, self-supervised learning, and foundation models that power todayโs most advanced AI systems, including ChatGPT and DALLยทE. With practical, hands-on coding exercises, youll learn to build and optimize deep learning models used in computer vision, natural language processing (NLP), and generative AI. Stay ahead of the curve with insights into LLMs (Large Language Models), diffusion models, and real-world deployment using TensorFlow Serving and ONNX. Whether youre starting your AI journey or looking to advance your skills, this course is your gateway to the fast-evolving world of deep learning.
00:00:00 INTRODUCTION
00:01:41 What is Deep Learning?
00:23:43 AI vs Machine Learning vs Deep Learning
00:37:27 Types of Machine Learning Models
00:44:33 Mathematics for Machine Learning
02:27:24 Deep Learning With Python
03:01:23 Artificial Neural Network
03:33:44 Keras
03:58:52 Introduction to TensorFlow
04:22:29 Convolutional Neural Network
04:43:01 Recurrent Neural Networks
05:11:56 LSTM Explained
06:05:53 Transformers Neural Networks Explained
06:15:56 Autoencoders Tutorial
06:38:02 What are GANs?
06:50:22 YOLO Object Detection Using OpenCV And Python
07:36:07 Realtime Object Detection
08:19:20 NLP & Text Mining Using NLTK
08:58:01 MLOps for Beginners
09:10:05 Deep Learning Interview Questions
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