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Introduction to Neural Networks with TensorFlow Udacity

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 months
Duration
2 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Throughout this Introduction to Neural Networks with TensorFlow course from Udacity you'll learn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier

Overview

Throughout this Introduction to Neural Networks with TensorFlow course from Udacity you'll create an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience
  • Retain knowledge longer
  • Apply new skills immediately

What you will do during this course:

  • you will receive a solid foundation on deep learning and neural networks. You'll also implement gradient descent and backpropagation in Python
  • you will be introduced to different error function and you will be guided through implementing gradient descent using numpy matrix multiplication.
  • you will learn how to use TensorFlow for building deep learning models

Skills you will learn:

  • Training neural networks
  • NumPy
  • Backpropagation
  • Overfitting prevention
  • Deep learning fluency
  • Gradient descent
  • AI algorithms in Python

Programme Structure

Courses include:

  • Implementing Gradient Descent
  • Training Neural Networks
  • Deep Learning with TensorFlow
  • Image Classifier Project

Key information

Duration

  • Part-time
    • 2 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prior to enrolling, you should have the following knowledge:

  • Multivariable calculus
  • Basic descriptive statistics
  • Python for data science
  • Basic probability
  • Linear algebra

You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fees

Additional Details

  • This program can be paid for with the Udacity subscription.

Funding

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