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A Primer

What you’ll learn

  • Building Neural Networks with Tensorflow

    Description

    You’re going to learn the most popular library to build networks and machine learning algorithms.

    In this hands-on, practical course, you will be working your way through with Python, Tensorflow, and Jupyter notebooks.

    What you will learn:

    • Basics of Tensorflow
    • Artificial Neurons
    • Feed Forward Neural Networks
    • Activations and Softmax Output
    • Gradient Descent
    • Backpropagation
    • Loss Function
    • MSE
    • Model Optimization
    • Cross-Entropy
    • Linear Regression
    • Logistic Regression
    • Convolutional Neural Networks (with examples)
    • Text and Sequence Data
    • Recurrent Neural Networks (with examples)
    • Neural Style Transfer (in progress)

    Who this course is for:

    • You want to get into machine learning and artificial neural networks
    • You already work in ML/AI and need to learn Tensorflow
    • You are a student, know some coding, and want to get into machine learning
    Enroll Now