Keras (Neural Network Library)

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. Coursera's Keras catalogue teaches you about this powerful library used for developing and evaluating deep learning models. You'll learn how to build and train neural networks, convoluted neural networks (CNNs), recurrent neural networks (RNNs), and understand how to preprocess data for these networks. Furthermore, you'll gain knowledge on how to evaluate models, and use Keras for solving real-life problems like image recognition, natural language processing, and more. This skill is essential for those interested in AI, machine learning, and data science.
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Results for "keras (neural network library)"

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

  • Status: Preview

    Skills you'll gain: Generative Model Architectures, Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Machine Learning

  • Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining

  • Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Deep Learning, Natural Language Processing, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Machine Learning Methods, Deep Learning, Natural Language Processing

  • Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Machine Learning, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Cloud Security, Keras (Neural Network Library), Google Cloud Platform, Generative Model Architectures, Data Ethics, Tensorflow, Information Privacy, Application Security, Artificial Intelligence, Image Analysis, Semantic Web, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

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