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Deep Learning Course

Deep Learning Course

$9.99

$109.99

The "Deep Learning Course" offers an in-depth exploration of advanced neural network techniques and their applications across various domains. Covering foundational concepts to cutting-edge methods, including CNNs, RNNs, and generative models, this course provides practical experience with frameworks like TensorFlow and PyTorch. You will learn to design, train, and optimize deep learning models for tasks such as image recognition and natural language processing, preparing you to tackle complex challenges in artificial intelligence and machine learning with confidence.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Tue Jul 2024
Level
Beginner
Total lectures 32
Total quizzes 0
Total duration 42:43:48 Hours
Total enrolment 50
Number of reviews 10
Avg rating
Short description The "Deep Learning Course" offers an in-depth exploration of advanced neural network techniques and their applications across various domains. Covering foundational concepts to cutting-edge methods, including CNNs, RNNs, and generative models, this course provides practical experience with frameworks like TensorFlow and PyTorch. You will learn to design, train, and optimize deep learning models for tasks such as image recognition and natural language processing, preparing you to tackle complex challenges in artificial intelligence and machine learning with confidence.
Outcomes
  • Design and Implement Deep Learning Models: Create effective deep learning models for a variety of tasks, including image and text analysis.
  • Apply Advanced Techniques: Utilize advanced deep learning methods to enhance model performance and address complex problems.
  • Use Industry-standard Frameworks: Demonstrate proficiency in using TensorFlow and PyTorch for building, training, and deploying deep learning models.
  • Optimize Model Performance: Implement strategies for model evaluation, hyperparameter tuning, and performance optimization.
  • Solve Real-world Problems: Apply your deep learning skills to practical projects and case studies in fields such as computer vision and natural language processing.
Requirements

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