Deep Learning

A structured collection of projects and experiments in neural networks, vision transformers, and agentic AI systems — combining modern deep learning architectures with applied projects in healthcare, image classification, and multi-agent reasoning frameworks.

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📁 Repository Structure

Deep-Learning/
├─ Neural-Network-Architectures/
│  ├─ Capstone Project/
│  │  ├─ ai_capstone_keras_best_model.model
│  │  └─ Final Proj - Classify Waste Products Using Keras.ipynb
│  │
│  ├─ CNNs/
│  │  ├─ Batch_Normalisation.ipynb
│  │  ├─ Comparative_Analysis_of_Keras_and_PyTorch_CNNs.ipynb
│  │  ├─ Implement_and_Test_a_PyTorch-Based_CNN.ipynb
│  │  ├─ Land_Classification_CNN_ViT_Integration.ipynb
│  │  ├─ Small_Images.ipynb
│  │  └─ Train_&_Evaluate_Keras-Based_Classifier.ipynb
│  │
│  ├─ Fashion MNIST/
│  │  ├─ data/
│  │  └─ FashionMNISTProject.ipynb
│  │
│  ├─ Predictors/
│  │  ├─ Breast Cancer/
│  │  │  ├─ Compare_Memory-Based_Versus_Generalised_Models.ipynb
│  │  │  └─ Data_Loading_and_Augmentation_Using_Keras.ipynb
│  │  │
│  │  └─ Game/
│  │     └─ Data_Loading_and_Augmentation_Using_TorchVision.ipynb
│  │
│  ├─ Vision Transformers/
│  │  ├─ Vision_Transformers_in_Keras.ipynb
│  │  └─ Vision_Transformers_in_PyTorch-3.ipynb
│
├─ Rag-and-Agentic-AI/
│  ├─ AutoGen/
│  │  ├─ Exercise_1.ipynb
│  │  └─ Multi-Agent_Chatbot_for_Healthcare.ipynb
│  │
│  ├─ CrewAI/
│  │  ├─ Structured_Meal_&_Grocery_Planner.ipynb
│  │  └─ CrewAI_Multi-Agent_AI_Systems.ipynb
│  │
│  ├─ LangGraph/
│  │  ├─ Reflection_Reasoning_Acting.ipynb
│  │  ├─ LangGraph_Design_Patterns.ipynb
│  │  └─ LangGraph_Workflow_Patterns.ipynb
│  │
│  └─ Multi-Agent RAG System/
│     └─ README.md
│
└─ README.md