Neural Network Visualizer Web App with Python Certificate Course

Enroll in the Neural Network Visualizer Web App with Python Certification Program to learn about the Neural Network Visualizer Web App with Python.

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Course

4.5 Course (237 reviews)

Course level

Intermediate

Duration

1-4 Weeks

Earn certificate credit

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Course Overview

You will learn how to use Streamlit to develop a Neural Network Visualizer web application and Keras and Flask to create a basic model server in this two-hour project-based course. Additionally, you will train a Neural Network model with Keras and build a multi-output model using the functional API of Keras.

For a given input image, we will develop a web application that displays the outputs of every neural network layer's node.

To effectively finish this project, you will need to have prior Python programming knowledge, comprehend the principles of neural networks, and be acquainted with Keras.

What you'll learn

  • Data Science
  • Machine Learning
  • Deep Learning
  • Streamlit

Requirements

  • Basic knowledge of Neural Networks & Python.
  • A computer or laptop with internet connectivity.
  • Learn about Neural Network Visualizer Web App with Python in two hours.
  • Flexible work schedule.

AccessTo Career Resources with a Neural Network Visualizer Web App with a Python Certificate Course

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Enhanced Employability:

An outstanding Neural Network Visualizer Web App with a Python Certificate that increases your chances of landing the best jobs.

Course

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

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Skill Validation:

Robust validation of your Neural Network & Python skills confirms that you can complete all related tasks.

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Networking Opportunities:

Neural Network Visualizer Web App with Python Certificate courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.

Course

4.5 Course (237 reviews)

Course level

Intermediate

Duration

1-4 Weeks

Earn certificate credit

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