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Neural Network Crash Course 2024| Neural Network Tutorial For Beginners |Neural Network|Simplilearn
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Welcome to our 'Neural Network Crash Course 2024'! This beginner-friendly video provides a concise and comprehensive introduction to the world of neural networks. Discover the basics of how neural networks function, their diverse applications in modern technology, and why they're crucial in the field of artificial intelligence. We'll explore key concepts such as layers, nodes, activation functions, and training processes. Our expert will simplify complex ideas, making them accessible to everyone. Whether you're a student, professional, or just curious about AI, this video is your stepping stone into the fascinating world of neural networks.
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➡️ 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
- Master Classes delivered by Purdue faculty and IBM experts
- 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…
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688