Deep Learning

This course is part of Data Analytics and Deep Learning Specialization

Instructors: Gady Agam +1 more

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Skills you'll gain

  •   Artificial Neural Networks
  •   Computer Vision
  •   Deep Learning
  •   Tensorflow
  •   Generative AI
  •   Image Analysis
  •   PyTorch (Machine Learning Library)
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Machine Learning
  •   Natural Language Processing
  •   Keras (Neural Network Library)
  • There are 9 modules in this course

    An introduction to the field of deep learning, including neural networks, convolutional neural networks, recurrent neural networks, transformers, generative models, neural network compression and transfer learning. This course will benefit students’ careers as a machine learning engineer or data scientist.

    Module 2: Convolutional Neural Networks (CNNs)

    Module 3: Deep Learning Tips

    Module 4: Recurrent Neural Networks (RNNs)

    Module 5: Generative Models (GANs) and Diffusion Models (DMs)

    Module 6: Self-attention and Transformers

    Module 7: Neural Network Compression

    Module 8: Transfer Learning

    Summative Course Assessment

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