Data Science

ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R

(0 reviews)
Share icon
Coursera With GroupifyAI

Develop and evaluate a neural network that can identify handwritten numerals, implement One Hot Encoding for classification, and evaluate the efficacy of the model through practical exercises.

Key AI Functions:

Artificial Neural Network,Analytics,Machine Learning

Description for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R

  • Develop and evaluate a neural network model that can recognize handwritten numerals and provide the digit.
  • Build a classifier by practicing the use of One Hot Encoding.
  • Evaluate the efficacy of the model through practice.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 2 hours

    Schedule: Hands-on learning

    Reviews for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R

    icon
    Freemium

    DataChat AI is a cloud-based platform integrating generative AI to simplify data science tasks, featuring a natural language interface and collaborative capabilities, ideal for users with limited coding skills.

    #research #analytics
    Visit icon
    icon
    Freemium

    GitFluence utilizes AI to recommend Git commands based on user input, offering an intuitive interface for developers to streamline version control tasks, enhancing productivity while addressing varied proficiency levels and learning needs.

    #llms #analytics
    Visit icon

    Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

    #Generative AI #Amazon Web Services
    Visit icon

    The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.

    #Artificial Neural Network #Backpropagation
    Visit icon

    Train, assess, and deploy an enhanced decision tree model using Azure ML Studio for predictive and scoring experiments.

    #Azure Machine Learning #Data Science
    Visit icon

    Learn the fundamentals of artificial intelligence (AI) and machine learning. Formulate a deployment strategy that capitalizes on the most advanced technologies to integrate AI, ML, and Big Data into your organization.

    #Artificial Intelligence (AI) #Analytics
    Visit icon

    Explore the differences between ML in Finance and Technology, evaluation methods for regression and classification models, Reinforcement Learning for stock trading, and modeling techniques for market frictions and feedback in option trading.

    #Artificial Neural Network #Python Programming
    Visit icon

    Learn to explain Azure Machine Learning Studio's no-code capabilities, fundamental machine learning principles, key development tasks, and common ML categories.

    #Artificial Intelligence (AI) #Microsoft Azure
    Visit icon

    Gain a foundational understanding of machine learning and its applications, collaborate with AI professionals, and complete a practical project to train and optimize a model.

    #Modeling #Predictive Analytics
    Visit icon

    Learn to effectively use TensorFlow for constructing and optimizing neural networks, including applications in computer vision with convolutional techniques.

    #Computer Vision #Tensorflow
    Visit icon