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"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=hbUL1iuYrQA&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IITK - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=hbUL1iuYrQA&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=hbUL1iuYrQA&utm_medium=DescriptionFFF&utm_source=Youtube ️️🔥 IITM - Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-ai-course?utm_campaign=hbUL1iuYrQA&utm_medium=DescriptionFFF&utm_source=Youtube" This Deep Learning course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, TensorFlow, TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications, and look at the essential interview questions. The below topics are explained in this Deep Learning full course video: 0:00 Deep Learning Course 02:13 Deep Learning 02:25 Working of neural networks 06:10 Horus Technology 06:50 What is Deep Learning? 07:00 Image Recognition 10:20 Why do we need Deep Learning? 11:40 Applications of Deep Learning 18:10 What is a Neural Network? 21:20 Biological Neuron vs. Artificial Neuron 39:10 Why are Deep Neural Nets hard to train? 42:00 Neural Network Prediction 1:12:50 Top Deep Learning Libraries 1:14:00 Why TensorFlow? 1:16:10 What is TensorFlow? 1:17:30 What are Tensors? 1:20:20 What is a Data Flow graph? 1:22:50 Program Elements in TensorFlow 1:29:40 TensorFlow program basics 2:01:16 Use case Implementation using TensorFlow 2:20:46 TensorFlow Object Detection 2:21:56 COCO Dataset 2:31:46 TensorFlow Object Detection API Tutorial 2:42:26 Deep Learning Frameworks 2:45:16 Keras 2:47:26 PyTorch 3:18:16 How image recognition works? 3:26:06 How CNN recognizes images? 4:29:13 Types of Recurrent Neural Network 4:37:53 Working of LSTMs 5:16.21 Deep Learning Applications To learn more about Deep Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1. #DeepLearningFullCourse #DeepLearningUseCases #DeepLearningApplicationsInRealLife #DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse What is Deep Learning? Deep Learning can be considered a subset of machine learning. It is a field based on Learning and improving by examining computer algorithms. While machine learning uses simpler concepts, deep Learning works with artificial neural networks designed to imitate how humans think and learn. Until recently, neural networks were limited by computing power and thus were limited in complexity. However, advancements in Big Data analytics have permitted larger, more sophisticated neural networks, allowing computers to observe, learn, and react to complex situations faster than humans. Deep Learning has aided image classification, language translation, and speech recognition. ➡️ About Post Graduate Program In AI And Machine Learning This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots. ✅ Key Features - Post Graduate Program certificate and Alumni Association membership - Exclusive hackathons and Ask me Anything sessions by IBM - 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more - - Simplilearn's JobAssist helps you get noticed by top hiring companies - Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more - Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools ✅ Skills Covered - ChatGPT - Generative AI - Explainable AI - Generative Modeling - Statistics - Python - Supervised Learning - Unsupervised Learning - NLP - Neural Networks - Computer Vision - And Many More…
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