Convolutional Neural Network - Monkey Species Classification

Learn to build and optimize convolutional neural networks for image classification through a comprehensive hands-on project classifying monkey species. Master the fundamentals of CNN architecture in deep learning, then implement a complete image classification pipeline using TensorFlow and Keras. Explore data preprocessing techniques, model construction, and training procedures specific to multi-class image recognition tasks. Discover hyperparameter optimization strategies using Keras Tuner to maximize model accuracy and performance. Apply transfer learning techniques by fine-tuning a pre-trained VGG16 model to leverage existing knowledge for improved classification results. Gain insights into CNN interpretability by examining what features and patterns the deep neural network actually learns to recognize during the classification process. Build practical experience with real-world computer vision challenges while developing skills in model evaluation, optimization, and visualization techniques essential for deep learning practitioners.