Python Jupyter Notebook with Convolutional Neural Network digit recognizer implemented in Keras. It's Google Colab ready.
Part of the Kaggle competition.
Submitted Kernel with 0.995 score.
Check out corresponding Medium article:
Digit Recognizer - Introduction to Kaggle Competitions with Image Classification Task (0.995)
Dataset: MNIST Handwritten digits
Description: Classification of handwritten digits, 10 classes (0-9).
Training: 37.8k (0.9) images
Validation: 4.2k (0.1) images
Testing: 28k images
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_22 (Conv2D) (None, 28, 28, 32) 832 _________________________________________________________________ conv2d_23 (Conv2D) (None, 28, 28, 32) 25632 _________________________________________________________________ max_pooling2d_11 (MaxPooling (None, 14, 14, 32) 0 _________________________________________________________________ dropout_7 (Dropout) (None, 14, 14, 32) 0 _________________________________________________________________ conv2d_24 (Conv2D) (None, 14, 14, 64) 18496 _________________________________________________________________ conv2d_25 (Conv2D) (None, 14, 14, 64) 36928 _________________________________________________________________ max_pooling2d_12 (MaxPooling (None, 7, 7, 64) 0 _________________________________________________________________ dropout_8 (Dropout) (None, 7, 7, 64) 0 _________________________________________________________________ flatten_4 (Flatten) (None, 3136) 0 _________________________________________________________________ dense_8 (Dense) (None, 8192) 25698304 _________________________________________________________________ dropout_9 (Dropout) (None, 8192) 0 _________________________________________________________________ dense_9 (Dense) (None, 2048) 16779264 _________________________________________________________________ dropout_10 (Dropout) (None, 2048) 0 _________________________________________________________________ dense_10 (Dense) (None, 10) 20490 ================================================================= Total params: 42,579,946 Trainable params: 42,579,946 Non-trainable params: 0 _________________________________________________________________ 
Kaggle score: 0.995
Greg (Grzegorz) Surma
