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Introduction to TensorFlow 2025 | Master TensorFlow Basics & Build AI Models in 2025 | Edureka
🔥 Generative AI Certification course: https://ift.tt/TLt80zK 🔥Introduction to Generative AI : https://ift.tt/TLt80zK In this video, we will Introduce *TensorFlow* , a powerful open-source machine-learning library. We'll explore real-world applications of TensorFlow and then guide you through the installation process. Next, we'll delve into the TensorFlow ecosystem and discuss its key features. Finally, we'll conclude by building a churn model using TensorFlow, providing a practical demonstration of its capabilities. ✅ 00:00 - Introduction ✅ 01:14 - What is TensorFlow? ✅ 03:14 - Why use tensorflow? ✅ 04:28 - Comparison with other frameworks ✅ 05:55 - Real-world applications of TensorFlow ✅ 08:40 - Industries using TensorFlow ✅ 10:00 - Installation of TensorFlow ✅ 12:03 - Tensorflow ecosystem ✅ 12:46 - Key Capabilities ✅ 13:43 - Churn Model Project ✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 📝Feel free to share your comments below.📝 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://ift.tt/MmQYVlk 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://ift.tt/QH7wWEZ 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://ift.tt/TEDte9f 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://ift.tt/8wepLqa 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://ift.tt/2TdOAKY 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://ift.tt/E0YZSuB 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://ift.tt/4Y1nog5 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://ift.tt/JMEhpRi - - - - - - - - - - - - - - What are Outcomes after learning Generative AI course ? Upon completing the Introduction to Generative AI Fundamentals Course, participants will attain the following learning outcomes: Develop a comprehensive understanding of generative AI, including its principles, applications, and significance across various domains. Gain practical experience through interactive sessions and exercises, enabling participants to apply theoretical concepts to real-world scenarios. Familiarize with popular generative AI algorithms such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. Explore the creative potential of generative AI in generating realistic images, text, music, and other forms of media, fostering innovation and experimentation. Understand the ethical implications and considerations associated with generative AI, including privacy, bias, and misuse, and learn strategies to address them responsibly. By the course's conclusion, learners will be equipped with the foundational understanding, practical skills, and ethical awareness necessary to leverage generative AI effectively and responsibly in their respective fields. For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)


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