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Deep Learning Foundations

Track :

Artificial Intelligence

Lessons no : 35

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What will you learn in this course?
  • Master deep neural network architectures including CNNs, RNNs, and autoencoders for AI applications in image, speech, and data analysis
  • Implement deep learning algorithms using popular frameworks like TensorFlow and Keras for real-world AI projects
  • Analyze and optimize neural network models to improve accuracy, efficiency, and scalability in AI solutions
  • Apply transfer learning and fine-tuning techniques to enhance deep learning models for specific tasks
  • Design and develop deep learning models for natural language processing, computer vision, and speech recognition
  • Evaluate deep learning models using metrics like accuracy, precision, recall, and F1 score for AI performance assessment
  • Troubleshoot common issues in deep neural networks such as overfitting, vanishing gradients, and model convergence
  • Integrate deep learning models into AI systems for automation, predictive analytics, and intelligent decision-making
  • Utilize best practices for data preprocessing, augmentation, and normalization in deep learning workflows
  • Stay updated with emerging trends and innovations in deep neural networks and artificial intelligence

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 35


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8 Reviews

waleed

100000000% 2025-06-25

Khaled Tokal

It was great 2025-06-05

Mahi

Great 2025-04-15

Sushanth Bejjenki

good 2025-02-01

Shaik umar

Good job 2024-10-12

syed owais

It's really good 2024-10-06

Arega Mekonnen

Thank you for the excellent delivery of the course on Fundamentals of Artificial Intelligence. I enjoyed the course and learnt a lot from the professor. Keep on teaching. 2024-06-06

Sumitha.S

Its really good 2024-03-20

Nimmala Manoj kumar

it's good 2024-02-06

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