Into the world of Artificial Intelligence (AI)

  1. The number of wheels of the vehicle
  2. The answer to whether the vehicle has windows or not
  • Load one sample (an image of a hand written number)
  • Run the network (multiplying the number of every pixel by the numbers in the “knobs”) following the paths.
  • Test the result (The result will be multiple numbers (between 0 and 1) in the output layer, meaning the probability of that number to be the one in the image)
  1. Scikit-learn
  2. Tensorflow
  3. Matplotlib
  4. Seaborn
  5. Pandas
  6. NumPy
  7. SciPy

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Using Neural Networks to Recognize Human Input

Deep Neural Network in Single Of Code

Land Classification using OpenCV

Introduction to Reinforcement Learning

The Future of Interactive Media — Pipelining StyleGAN3 for Production

Knowing When to Use the Right Model

Improving ANN for Titanic Dataset

RAPIDS: The Future of GPU Data Science?

Image showing Rapids as a Formula 1 car taking over a normal commute car depicting Spark & Pandas

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Google Developer Student Clubs - NUML

Google Developer Student Clubs - NUML

GDSC -NUML

More from Medium

How Wearable IoMT Technology Is Changing Healthcare

How to Do Your Own Research (DYOR)

magnifying glass: How to do your own research

Capitalism

Building a City of the Future — Part 1