Course Highlights
  • Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications.
  • Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow.
  • Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data.
  • Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering.

Skills you will learn!
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Deep Learning Specialization

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