Mourad
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    from18.00EUR/ h

    Teaching The generative adversarial Network with the application of Python

    Translated by Google. Click to view original.
    We will learn the concept of generative adversarial Network, how to train this network, how to evaluate this network,
    the type of this network, and the application of these networks. Further, we will end with application using Python language.

    Extra information

    Translated by Google. Click to view original.
    bring your laptop

    Location

    Online via webcam

    General info

    Age:
    Children (7-12 years old)
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    The class is taught in:English, Arabic, French

    About Me

    Programming with several programming languages, such as C, JAVA, and Python.
    Data scientist: extracting knowledge from structured, semi-structured, and unstructured data.
    Teach programming languages and data science.
    Five years of experience in teaching.

    Education

    Ph.D. in Artificial Intelligence Multi-modal from Sidi Mohamed Ben Abdellah University.
    Master's degree in Big Data analytics and smart systems, from Sidi Mohamed Ben Abdellah University.
    Bachelor's degree in Computer Science and Mathematics from Ibn Zohr University

    Experience / Qualifications

    Five years of experience in teaching.
    Freelancer in several programming projects.
    Teaching programming from scratch to a high level with a professional methodology. We begin with the algorithms to understand the basic of programming, then we do the asginement with C language, then we move forward with oriented object programing (JAVA), then we end with (python).
    In this courses, we will discover the methodology of data science, we will learn how to work with supervised and unsupervised learning. and we will discover the type of the data (stractred, semi-stractred, and unstractred data). we will also discover the steps to handle the projects.
    The "Machine Learning with Python and PyTorch: Practical Hands-on Training" course provides hands-on experience in using Python and PyTorch for deep learning. Participants will learn to build, train, and deploy neural networks, including CNNs, RNNs, and GANs. The course covers data preprocessing, optimization techniques, and model evaluation. Through coding exercises and projects, participants gain practical skills in implementing deep learning algorithms and deploying models for inference. By the end of the course, participants will be proficient in Python programming and PyTorch, ready to tackle diverse deep-learning tasks.
    In today's rapidly evolving technological landscape, Large Language Models (LLMs) have emerged as a groundbreaking innovation, transforming the way we interact with machines and process vast amounts of textual information. This comprehensive course, "Mastering Large Language Models with Langchain: Building Chatbots and Document-based QA Systems," is designed to equip participants with the skills and knowledge to harness the power of LLMs for creating advanced chatbots and document-based question-answering (QA) systems.

    Ask a question

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    Availability of a typical week

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    from 18€Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since June 2022
    • Phone number verified
    • Google connected

    Availability of a typical week

    (GMT -04:00) New York
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    from 18€Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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