The Future of AI & Computational Intelligence (2/3)

Описание: Welcome to Part 2/3 "The Future of AI & Computational Intelligence".
This session transitions from basic neural networks to powerful deep learning models like CNNs, with practical demos and evaluation techniques.
What’s Covered in This Video:
🔹 Neural Network Hands-on Examples
– Step-by-step neuron output calculation
– Use of real-world features: acid durability & strength
– Google Colab demo for binary classification using NNs
🔹 Introduction to Convolutional Neural Networks (CNNs)
– Core CNN architecture and key layers: convolution, max-pooling, flattening, dense
– Real-world case study: biomedical image classification (e.g., diabetic retinopathy detection)
🔹 CNN Performance Metrics & Optimization
– Evaluation using precision, recall, and confusion matrix
– Multi-class classification example with model results and analysis
💻 Hands-on Code Access (Colab):
Simple NN for Classification Solution:
Neural Network for Regression Solution:
🔔 Subscribe for Part 3, where we explore advanced CNN concepts, future AI trends, and project guidance.
#CNN #DeepLearning #AIProjects #AITraining #BiomedicalAI #NeuralNetworks #MachineLearning #ConfusionMatrix