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Neural Networks with Tensorflow

via Udemy


A Primer

What you'll learn:
  • Building Neural Networks with Tensorflow

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)

Taught by

Cristi Zot


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