273 ratings
10,059 already enrolled
How to implement a neural network from scratch using TensorFlow.
How to solve a multi-class classification problem using the neural network implementation.
In this 2-hours long project-based course, you will learn how to implement a Neural Network model in TensorFlow using its core functionality (i.e. without the help of a high level API like Keras). You will also implement the gradient descent algorithm with the help of TensorFlow's automatic differentiation. While it’s easier to get started with TensorFlow with the Keras API, it’s still worth understanding how a slightly lower level implementation might work in tensorflow, and this project will give you a great starting point. In order to be successful in this project, you should be familiar with python programming, TensorFlow basics, conceptual understanding of Neural Networks and gradient descent. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Data Science
Deep Learning
Mathematical Optimization
Artificial Neural Network
Tensorflow
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create the Neural Network class
Create a forward pass function
Use the cross entropy loss with logits
Create a predict function
Create the main training mechanism and implement gradient descent with automatic differentiation
Break down data-set in batches
Apply the neural network model to solve a multi-class classification problem
Plot the training results
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by DK
May 8, 2020It is a good course to know about the neural networks using tensorflow.
by SJ
Jun 3, 2020It was very good way to write code prior. Rhyme is slow.
by AR
Jul 3, 2020Best hands-on experience.
The understanding was awesome. Keep making these types of projects.
by D
May 19, 2020I learned the practical implementation of neural networks!
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
More questions? Visit the Learner Help Center.
