diff --git a/juice/src/layer.rs b/juice/src/layer.rs
index 0fcedf3bf..f27aeb553 100644
--- a/juice/src/layer.rs
+++ b/juice/src/layer.rs
@@ -545,10 +545,22 @@ impl<B: IBackend> Layer<B> {
             // reshape input tensor to the reshaped shape
             let old_shape = self.input_blobs_data[input_i].read().unwrap().desc().clone();
             if old_shape.size() != reshaped_shape.size() {
-                panic!(
-                    "Input Shape Mismatch\nExpected {:?}\nActual {:?}",
-                    reshaped_shape, old_shape
+                eprintln!(
+                    "Input Shape Mismatch at layer {}\nLayer has input shape {:?}\nInput given has shape {:?}",
+                    self.name, reshaped_shape, old_shape
                 );
+                if reshaped_shape[1..] == old_shape[1..] {
+                    eprintln!("This may be a batch size error");
+                    eprintln!("Expected batch size {} but got batch size {}.", reshaped_shape[0], old_shape[0]);
+                }
+                else if reshaped_shape[1..] == old_shape {
+                    eprintln!("This may be a batch size error");
+                    eprintln!("Expected batch size {} but got batch size {}.", reshaped_shape[0], 1);
+                }
+                if reshaped_shape == old_shape[1..] {
+                    eprintln!("You may have forgotten to specify a batch size in your model input.");
+                }
+                panic!();
             }
             self.input_blobs_data[input_i]
                 .write()
diff --git a/juice/src/layers/common/linear.rs b/juice/src/layers/common/linear.rs
index 38d90b993..45cf18b8a 100644
--- a/juice/src/layers/common/linear.rs
+++ b/juice/src/layers/common/linear.rs
@@ -86,6 +86,9 @@ impl<B: IBackend + LayerOps<f32>> ILayer<B> for Linear {
         output_data: &mut Vec<ArcLock<SharedTensor<f32>>>,
         output_gradient: &mut Vec<ArcLock<SharedTensor<f32>>>,
     ) {
+        if input_data.len() == 0 {
+            panic!("Linear layer expected input, but none was given.");
+        }
         let input = input_data[0].read().unwrap();
         let batch_size = input.desc()[0];
         // reshape top
diff --git a/juice/src/layers/container/sequential.rs b/juice/src/layers/container/sequential.rs
index 1808f8b83..36238b116 100644
--- a/juice/src/layers/container/sequential.rs
+++ b/juice/src/layers/container/sequential.rs
@@ -293,6 +293,9 @@ impl<B: IBackend + LayerOps<f32> + 'static> ILayer<B> for Sequential<B> {
         output_data: &mut [ArcLock<SharedTensor<f32>>],
     ) {
         for layer in &self.layers {
+            if layer.borrow().input_blob_names.len() < input_data.len() {
+                panic!("Layer {} expected {} input(s) but got {}.", layer.borrow().name, layer.borrow().input_blob_names.len(), input_data.len());
+            }
             for (i, (input, input_name)) in input_data.iter().zip(self.input_tensor_names.iter()).enumerate() {
                 if &layer.borrow().input_blob_names[i] == input_name {
                     layer.borrow_mut().input_blobs_data[i] = input.clone();