add lab word embedding

README.md

@@ -35,7 +35,9 @@ https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/
 
 - Lab 2: [Gun detection](https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/lab02_Gun_detection_fasterRCNN/gun_detection_fasterRCNN.ipynb)
 
-- Lab 3: [Retrieval-Augmented Generation](https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/lab3_RAG//Retrieval_Augmented_Generation_Simple.ipynb)
+- Lab 3: [Retrieval-Augmented Generation](https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/lab3_RAG/Retrieval_Augmented_Generation_Simple.ipynb)
+
+- Lab 4: [Word Embedding in Digital Forensics](https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/lab04_word_embedding/Word_Embeddings_in_DF.ipynb)
 
 - Lab 10: [Reinforcement Learning](https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/lab10_Reinforcement_Learning/dqn_lunar_lander_demo.ipynb)
 

lab02_Gun_detection_fasterRCNN/README.md

@@ -61,7 +61,7 @@ An example training image with annotations
 
 ## R-CNN and Fast R-CNN Algorithm
 
-- The R-CNN (Region-based Convolutional Neural Network) algorithm is a foundational object detection technique in computer vision. You MUST watch [R-CNN Tutorial](https://www.youtube.com/watch?v=nJzQDpppFj) first
+- The R-CNN (Region-based Convolutional Neural Network) algorithm is a foundational object detection technique in computer vision. You MUST watch [R-CNN Tutorial](https://www.youtube.com/watch?v=nJzQDpppFj0) first
 
 - [Fast R-CNN](https://www.youtube.com/watch?v=5gAq6BZ87aA&t=1454s) is an object detection algorithm that significantly improved upon the original R-CNN (Region-based Convolutional Neural Network) by addressing its speed limitations. Fast R-CNN processes the entire input image through the CNN only once This significantly reduces redundant computations.