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FreeDeep Learning Full Course - Learn Deep Learning - 10 Hours [2026] | Deep Learning Tutorial | Edureka
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This Edureka course runs about 10 hours and covers deep learning from the mathematics up through the main architectures. The chapter list starts with what deep learning is, then turns to the distinctions between AI, machine learning and deep learning, the types of machine learning models and the math behind them.
Beginners who want a broad map of the field will benefit most, and the interview questions near the end make it a useful review for job seekers. Because it covers many subjects in one run, expect to revisit sections in more depth elsewhere.
🔥 AI & Deep Learning with TensorFlow (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/ai-deep-learning-with-tensorflow
🔥Integrated 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. You’ll explore cutting-edge techniques like transformer architectures, attention mechanisms, self-supervised learning, and foundation models that power today’s most advanced AI systems, including ChatGPT and DALL·E. With practical, hands-on coding exercises, you'll 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 you're 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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