/digit-recognition-using-cnn

In this kernel, I have created a Deep Convolutional Neural Network (CNN) model to recognize different handwritten digits and classify them. The dataset used here is actually from [Digit Recognition Competition](https://www.kaggle.com/c/digit-recognizer).

Primary LanguageJupyter Notebook

MNIST Handwritten Digit Recognizer using Deep CNN

MNIST Dataset

In this kernel, I have created a Deep Convolutional Neural Network (CNN) model to recognize different handwritten digits and classify them. The dataset used here is actually from Digit Recognition Competition.

Frameworks

  • Tensorflow v2 - A open sourced machine learning framework from Google.
  • Keras - A open sourced neural network library running on top of tensorflow.

Process flow

  1. Importing Libraries
  2. Preparing the Dataset
  3. Model Building
  4. Model Fitting
  5. Analyzing the model
  6. Predicting the test data