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: Free Trial

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, Data Transformation, Financial Forecasting, Feature Engineering, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Pandas (Python Package), Tensorflow, Artificial Neural Networks, Matplotlib, NumPy

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Dataflow, MLOps (Machine Learning Operations), Data Ethics, Predictive Modeling, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Heat Maps, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Forecasting, Data Processing, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming

  • Status: Free Trial

    Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Distributed Computing, Unsupervised Learning, Network Model, Performance Tuning, NumPy, Object Oriented Programming (OOP), Heat Maps, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

  • Coursera Project Network

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Machine Learning, Computer Vision

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Real Time Data, Cloud Computing