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Deep Learning With Tensorflow 2.0, Keras and Python

Deep Learning With Tensorflow 2.0, Keras and Python

$9.99

$109.99

The "Deep Learning With TensorFlow 2.0, Keras, and Python" course offers a thorough introduction to building and deploying deep learning models using TensorFlow 2.0 and Keras. Covering key topics such as neural network architecture, training techniques, and advanced methods like transfer learning, this course combines theoretical concepts with practical, hands-on projects. By the end, you'll have the skills to develop and optimize deep learning models for real-world applications, making this course ideal for those looking to advance their expertise in the field of artificial intelligence.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Mon Jul 2024
Level
Beginner
Total lectures 57
Total quizzes 0
Total duration 17:31:14 Hours
Total enrolment 87
Number of reviews 17
Avg rating
Short description The "Deep Learning With TensorFlow 2.0, Keras, and Python" course offers a thorough introduction to building and deploying deep learning models using TensorFlow 2.0 and Keras. Covering key topics such as neural network architecture, training techniques, and advanced methods like transfer learning, this course combines theoretical concepts with practical, hands-on projects. By the end, you'll have the skills to develop and optimize deep learning models for real-world applications, making this course ideal for those looking to advance their expertise in the field of artificial intelligence.
Outcomes
  • Proficiency in Deep Learning Concepts: Develop a strong understanding of deep learning fundamentals and neural network architectures.
  • Model Building and Training: Acquire skills to build, train, and evaluate neural networks using TensorFlow 2.0 and Keras.
  • Advanced Technique Implementation: Implement advanced techniques such as transfer learning and neural style transfer.
  • Model Optimization: Learn to fine-tune and optimize models to achieve better performance and accuracy.
  • Deployment Skills: Gain practical experience in deploying and integrating deep learning models into production systems.
Requirements

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