Neural Networks with Tensorflow

A Primer

Neural Networks with Tensorflow
Neural Networks with Tensorflow

Neural Networks with Tensorflow udemy course free download

A Primer

What you'll learn:

  • Building Neural Networks with Tensorflow

Requirements:

  • You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.

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:

Course Details:

  • 5 hours on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Neural Networks with Tensorflow udemy courses free download

A Primer

Demo Link: https://www.udemy.com/course/tensorflownets/