diff --git a/README.md b/README.md
index 733f93c..b3a790d 100644
--- a/README.md
+++ b/README.md
@@ -71,7 +71,7 @@ eval.metrics.f1_score(y_true, y_pred, labels, average)
 [Link](/eval/metrics.py) to the metrics source code.
 
 ### Results
-<img src="/plots/perceptron/confusion_matrix_plot.png?raw=true" width="500" height = "375" alt = "Confusion Matrix Plot" />
+<img src="/plots/perceptron/confusion_matrix_plot.png?raw=true" width="600" height = "450" alt = "Confusion Matrix Plot" />
 
 ### 2) Feedforward Neural Network (using PyTorch)
 A feed-forward neural network classifier with a single hidden layer containing 9 units. While a feed-forward neural network is clearly not the ideal architecture for sequential text data, it was of interest to add a sort of second baseline and examine the added gains (if any) relative to a single perceptron. The input to the feedforward network remained the same; only the final model was suitable for more complex inputs such as word embeddings.
@@ -112,6 +112,6 @@ TODO
 TODO
 
 ### Results
-<img src="/plots/bilstm_model/confusion_matrix_plot.png?raw=true" width="500" height = "375" alt = "Confusion Matrix Plot" />
+<img src="/plots/bilstm_model/confusion_matrix_plot.png?raw=true" width="600" height = "450" alt = "Confusion Matrix Plot" />
 
 ## References
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