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    3. Python for Deep Learning - Build Neural Networks in Python

    Python for Deep Learning - Build Neural Networks in Python

    Posted By: lucky_aut
    Date: 7 Sep 2022 16:48:16
    Python for Deep Learning - Build Neural Networks in Python

    Python for Deep Learning — Build Neural Networks in Python
    Duration: 2h 8m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 343 MB
    Genre: eLearning | Language: English

    Master Data Science, TensorFlow, Artificial Intelligence, and Neural Networks with this comprehensive deep learning course for absolute beginners

    About This Video

    Fundamentals course designed for both beginners and experts alike
    Use different frameworks in Python to solve real-world problems using deep learning and AI
    Make predictions using linear regression, polynomial regression, and multivariate regression
    In Detail

    Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it's no secret that Python’s best application is in deep learning and artificial intelligence tasks.

    We will start with an introduction to deep learning where we will focus on the fundamentals of the deep learning theory and learn how to use deep learning in Python. Followed by this we will move on to Artificial Neural Networks (ANN). You will learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence. Next, we will make predictions using linear regression, polynomial regression, and multivariate regression, and build artificial neural networks with TensorFlow and Keras. We will also cover Convolutional Neural Networks (CNN) at length and go through the different components such as convolution layer, pooling layer, and fully connected layer. Finally, we will wrap up the implementation of CNN in Python.

    By the end of this course, you will be able to use the concepts of deep learning to build neural networks in python like a professional.

    Audience

    This course is intended for both beginners and professionals in programming who want to expand their knowledge of deep learning or professional mathematicians who want to learn how to analyze data programmatically. Basic mathematical skills and Python coding experience are prerequisites.
    UPWARDS