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Deep Learning Specialization Coursera Answers

Courses Answers:

Course 1: Neural Networks and Deep Learning
Course 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Course 3: Structuring Machine Learning Projects
Course 4: Convolutional Neural Networks
Course 5: Sequence Models

About the course:

You’ll learn, 

  • 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


Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from DeepLearning.AI

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