title: InvalidArgumentError : input depth must be evenly divisible by filter depth: 4 vs 3
body: <p>I'm a beginner. I tried Image Classification by Tensorflow, and got the following error. I found the similar issue on web, but I couldn't understand. What does the error mean? How should I do for it? Please give me some advice. I use 100 files(png/15pix, 15pix) like a sample image. Tensorflow ver.2.0.0 / python ver.3.8.1 / Jupyter notebook.</p>
  
  <p><a href="https://i.stack.imgur.com/0vyCX.png" rel="noreferrer"><img src="https://i.stack.imgur.com/0vyCX.png" alt="sample image"></a></p>
  
  <pre><code>    num_epochs = 30
      steps_per_epoch = round(num_train)//BATCH_SIZE
      val_steps = 20
      history = model.fit(train_data.repeat(),
                  epochs=num_epochs,
                  steps_per_epoch = steps_per_epoch,
                  validation_data=val_data.repeat(), 
                  validation_steps=val_steps)
  </code></pre>
  
  <blockquote>
    <p>InvalidArgumentError:  input depth must be evenly divisible by filter depth: 4 vs 3
         [[node sequential_2/mobilenetv2_1.00_96/Conv1/Conv2D (defined at C:\Users\XXXXX\Anaconda3\lib\site-packages\tensorflow_core\python\framework\ops.py:1751) ]] [Op:__inference_distributed_function_42611]
    Function call stack:
    distributed_function</p>
  </blockquote>