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Deep Learning

Deep Learning

$9.99

$109.99

The "Deep Learning" course offers an in-depth exploration of neural networks and advanced AI techniques. Covering foundational principles and cutting-edge methods such as convolutional and recurrent networks, this course provides hands-on experience with TensorFlow and PyTorch. You'll learn to design, train, and optimize models for tasks like image classification and natural language processing, equipping you with the skills needed to address complex challenges in artificial intelligence and machine learning. Ideal for those seeking to deepen their understanding and application of deep learning technologies.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Tue Jul 2024
Level
Beginner
Total lectures 66
Total quizzes 0
Total duration 24:57:07 Hours
Total enrolment 22
Number of reviews 4
Avg rating
Short description The "Deep Learning" course offers an in-depth exploration of neural networks and advanced AI techniques. Covering foundational principles and cutting-edge methods such as convolutional and recurrent networks, this course provides hands-on experience with TensorFlow and PyTorch. You'll learn to design, train, and optimize models for tasks like image classification and natural language processing, equipping you with the skills needed to address complex challenges in artificial intelligence and machine learning. Ideal for those seeking to deepen their understanding and application of deep learning technologies.
Outcomes
  • Design Effective Deep Learning Models: Create and implement neural network architectures for various applications, including image and text analysis.
  • Apply Advanced Deep Learning Techniques: Utilize methods such as transfer learning and generative models to enhance model performance.
  • Work with Industry-standard Frameworks: Demonstrate proficiency in TensorFlow and PyTorch for building and deploying deep learning models.
  • Optimize Model Performance: Employ strategies for hyperparameter tuning and performance evaluation to improve model accuracy.
  • Solve Complex AI Problems: Apply deep learning skills to practical projects, addressing real-world challenges in computer vision, natural language processing, and more.
Requirements

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