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TensorFlow for Beginners | Edureka

Track :

Programming

Lessons no : 32

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What will you learn in this course?
  • Master how to build and train neural networks using TensorFlow for deep learning applications and AI models
  • Implement machine learning algorithms with TensorFlow for data analysis and predictive modeling tasks
  • Utilize TensorFlow libraries to develop scalable and efficient AI solutions for real-world problems
  • Apply TensorFlow to preprocess data, optimize models, and improve machine learning accuracy and performance
  • Create, evaluate, and deploy deep learning models using TensorFlow for image, text, and speech recognition
  • Integrate TensorFlow with other tools like Keras and TensorBoard for enhanced AI development workflows
  • Troubleshoot common TensorFlow issues to ensure robust and reliable machine learning models
  • Leverage TensorFlow's capabilities for large-scale numerical computations and data processing tasks
  • Design custom neural network architectures tailored to specific AI and machine learning projects
  • Implement best practices for model training, validation, and deployment in TensorFlow environments

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Lessons | 32


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Sakshi Ashok Kadam

nice 2024-11-26

Jatin Choudhury

Excellent Teaching 2024-11-04

Sagar Kanekar

Very Nice Course 2024-01-19

Kerissa

- 2024-01-19

Jedidiah Benenoch

Great 2023-03-14

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TensorFlow is an open-source library developed by Google primarily for deep learning applications. It also supports traditional machine learning. TensorFlow was originally developed for large numerical computations without keeping deep learning in mind .