Train Inception from Scratch in TensorFlow
<p>I wanted to train the inception model like shown in the tensorflow github-tutorial.
Except i wanted to use a selfmade Dataset of TFRecord files.</p>

<pre><code>bazel build inception/imagenet_train
bazel-bin/inception/imagenet_train --num_gpus=1 --batch_size=32 --train_dir=/tmp/imagenet_train --data_dir=/tmp/imagenet_data
</code></pre>

<p>I changed the data directory to the folder with my own TFRecord files.
Now iÂ´am wondering whether iÂ´am realy training from scratch, or if this is the same thing like the "retraining the last layer -Tutorial" </p>

<p>Yes you are training from scratch: see the <a href="https://github.com/tensorflow/models/blob/master/inception/inception/inception_train.py#L180" rel="nofollow">code</a></p>

python machine-learning tensorflow