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Python Deep Learning Neural Network with keras and tensorflow

Python Deep Learning Neural Network with keras and tensorflow

$9.99

$109.99

"Python Deep Learning Neural Network with Keras and TensorFlow" is an advanced course designed to teach you how to build and deploy powerful deep learning models using Keras and TensorFlow. You’ll explore core concepts of neural networks, including various architectures such as feedforward, convolutional, and recurrent networks. Through hands-on projects and real-world applications, you’ll learn to design, train, and optimize models for tasks like image recognition, text analysis, and predictive analytics, equipping you with essential skills for tackling complex problems in artificial intelligence.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Mon Jul 2024
Level
Beginner
Total lectures 21
Total quizzes 0
Total duration 03:21:08 Hours
Total enrolment 64
Number of reviews 12
Avg rating
Short description "Python Deep Learning Neural Network with Keras and TensorFlow" is an advanced course designed to teach you how to build and deploy powerful deep learning models using Keras and TensorFlow. You’ll explore core concepts of neural networks, including various architectures such as feedforward, convolutional, and recurrent networks. Through hands-on projects and real-world applications, you’ll learn to design, train, and optimize models for tasks like image recognition, text analysis, and predictive analytics, equipping you with essential skills for tackling complex problems in artificial intelligence.
Outcomes
  • Deep Learning Proficiency: Ability to understand and implement deep learning concepts using Keras and TensorFlow.
  • Model Building Skills: Competence in constructing and training various types of neural networks including feedforward, CNNs, and RNNs.
  • Practical Application Expertise: Skills in applying deep learning models to real-world problems like image recognition and text analysis.
  • Optimization Techniques: Mastery of techniques for optimizing neural network models for improved performance and accuracy.
  • Hands-On Experience: Practical experience with deep learning projects and case studies, preparing you for real-world applications.
Requirements