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"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=dOV2hpwUak4&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=dOV2hpwUak4&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=dOV2hpwUak4&utm_medium=DescriptionFFF&utm_source=Youtube ️️🔥 Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=dOV2hpwUak4&utm_medium=DescriptionFFF&utm_source=Youtube" We all are aware of the fact that Deep learning is a type of machine learning that trains computers to accomplish things that humans do instinctively. For example, Deep learning is a critical component of self-driving automobiles, allowing them to detect a stop sign or discriminate between a pedestrian and a lamppost. It enables voice control in consumer electronics such as phones, tablets, televisions, and hands-free speakers. It has gotten a lot of attention recently, and with good cause. And considering its popularity and demand to learn this very technology we have brought you Deep Learning with Keras Skillup Course. Keras is a deep learning API developed by Google for implementing neural networks, deployment, and evaluation of your Deep Learning Models. Many commercial companies like Netflix, Uber, Square, Yelp, etc have deployed their products using Keras. This skillup course will help you enhance your knowledge of Deep Learning and its working principles and models. Now you must be wondering what is this skillup course about? So, let me give you an overview of what you are going to explore in this course. First, you will come across the basics of TensorFlow which allows creating data flow graphs to build your model. Then it will cover the implementation of Neutral Networks and then will finally move towards working with sequential models. This will help you explore how to deploy and evaluate your Deep Learning Models. And all of this for FREE. Yes, You heard it right. It’s free of cost By the end of this course, you'll know how to use Keras to evaluate and optimize neural networks, as well as how to pre-process data. The course comprises 4 hours of self-paced video lessons created by mentors with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn. Apart from this, This Skillup course will give you free access to its self-paced lessons for 90 days. This means you can access its lessons anytime you want. All you need to do is log in to simplilearn.com and register for the Deep Learning with Keras Skillup Course. And there you go, now you can have all the knowledge of Deep Learning In Keras revolving around you. Get certified with Simplilearn today and boost your resume! What should I learn first in the Machine Learning basics program? Professionals who wish to start with Machine Learning first get a complete overview of Artificial Intelligence, its applications and how various industries are using it. Then they learn about Machine Learning, its approaches and techniques. ➡️ About Artificial Intelligence Engineer This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions. IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers. ✅ Key Features - Add the IBM Advantage to your Learning - 25 Industry-relevant Projects and Integrated labs - Immersive Learning Experience - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Tools Covered - ChatGPT - Flask - Matplotlib - django - Python - Numpy - Pandas - SciPy - Keras - OpenCV - And Many More… 👉 Learn More At: 🔥🔥
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