handwritten-digit-recognition | testing in Python , recognition web | Machine Learning library

I am trying to write a simple character recolonization code using convolutional neural network in python on windows. I am following this tutorial. But somehow I am having following error message. I could not find the appropriate reason of this error. It would be helpful for me if anyone can breakdown the error with probable solution.

I am trying to locate rectangles in an image, and apply a classifier to recognize numbers inside each one, using a previously trained classifier:

I am trying to extend a basic classification model (https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/) to a simple object detection model for single objects.

The classification model simply classifies handwritten digits in images where the digit fills most of the image. To make a meaningful dataset for the object detection I use the MNIST dataset as base and transform it into a new dataset by the following steps

1. Increase the image canvas size from 28x28 to 100x100
2. Move the handwritten digit to a random position within the 100x100 image
3. Create a ground truth bounding box

Figure 1: Illustration of step 1 and 2.

Figure 2: Some produced ground truth bounding boxes.

The output vector from the model is inspired by the YOLO definition but for a single object:

I am new to Deep Learning and am using Keras to learn it. I followed instructions at this link to build a handwritten digit recognition classifier using MNIST dataset. It worked fine in terms of seeing comparable evaluation results. I used tensorflow as the backend of Keras.

Now I want to read an image file with a handwritten digit and predict its digit using the same model. I think the image needs to be transformed to be in 28x28 dimension with 255 depth first? I am not sure whether my understanding is correct to begin with. If so, how can I do this transformation in Python? If my understanding is incorrect, what kind of transformation is required?

Thank you in advance!

My goal is to classify MNIST handwritten digits using keras. I am trying to reproduce the results from this website.

When creating the model ("model = baseline_model()"), I get the error message AssertionError: Keyword argument not understood: kernel_initializer

Do you know how to solve this issue ? I am using keras 1.1.1 with theano back-end

I'm completely new to keras and to get started, I'm trying to follow this tutorial. I use theano backend. Sadly, I already encounter a difficulty at this line: