title: How to test the model created using mnist dataset
body: <p>I am new to caffe and thus was trying to play around with the MNIST dataset . I ran the following commands </p>
  
  <pre><code>./data/mnist/get_mnist.sh
  ./examples/mnist/create_mnist.sh
  ./examples/mnist/train_lenet.sh
  </code></pre>
  
  <p>I haven't changed any of the files in caffe and has executed just the above 3 lines.</p>
  
  <p>My example/mnist folder structure is as follows:</p>
  
  <pre><code>examples/mnist/
  |-- convert_mnist_data.cpp
  |-- create_mnist.sh
  |-- lenet_adadelta_solver.prototxt
  |-- lenet_auto_solver.prototxt
  |-- lenet_consolidated_solver.prototxt
  |-- lenet_iter_10000.caffemodel
  |-- lenet_iter_10000.solverstate
  |-- lenet_iter_5000.caffemodel
  |-- lenet_iter_5000.solverstate
  |-- lenet_multistep_solver.prototxt
  |-- lenet.prototxt
  |-- lenet_solver_adam.prototxt
  |-- lenet_solver.prototxt
  |-- lenet_solver_rmsprop.prototxt
  |-- lenet_train_test.prototxt
  |-- mnist_autoencoder.prototxt
  |-- mnist_autoencoder_solver_adadelta.prototxt
  |-- mnist_autoencoder_solver_adagrad.prototxt
  |-- mnist_autoencoder_solver_nesterov.prototxt
  |-- mnist_autoencoder_solver.prototxt
  |-- mnist_test_lmdb
  |   |-- data.mdb
  |   `-- lock.mdb
  |-- mnist_train_lmdb
  |   |-- data.mdb
  |   `-- lock.mdb
  |-- readme.md
  |-- train_lenet_adam.sh
  |-- train_lenet_consolidated.sh
  |-- train_lenet_docker.sh
  |-- train_lenet_rmsprop.sh
  |-- train_lenet.sh
  |-- train_mnist_autoencoder_adadelta.sh
  |-- train_mnist_autoencoder_adagrad.sh
  |-- train_mnist_autoencoder_nesterov.sh
  `-- train_mnist_autoencoder.sh
  </code></pre>
  
  <p>I want to test the model created by passing an image that is of size 256*256 but don't know how to do it, and want to do it using python . Any help would be appreciated .</p>