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Deep Learning and AI Curriculum


Module 1: Introduction to Deep Learning and AI

  • Understanding the fundamentals of AI, Machine Learning, and Deep Learning
  • Exploring real-world applications of AI and Deep Learning
  • Setting up the development environment: Python, TensorFlow, and Keras
  • Hands-on: Writing your first neural network in TensorFlow

Module 2: Neural Networks and Backpropagation

  • Building blocks of neural networks: neurons, layers, and activation functions
  • Forward propagation and backpropagation algorithms
  • Gradient descent optimization techniques
  • Hands-on: Implementing a basic neural network for a classification task

Module 3: Convolutional Neural Networks (CNNs)

  • Understanding the need for CNNs in image analysis
  • Convolutional layers, pooling layers, and fully connected layers
  • Building image classifiers using CNNs
  • Hands-on: Creating a CNN for image recognition

Module 4: Recurrent Neural Networks (RNNs) and Natural Language Processing (NLP)

  • Introducing RNNs for sequential data analysis
  • Applications of RNNs in Natural Language Processing
  • Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRUs)
  • Text generation and sentiment analysis using RNNs
  • Hands-on: Building an RNN-based language model

Module 5: Generative Adversarial Networks (GANs)

  • Understanding the concept of GANs and their architecture
  • Training GANs to generate realistic images
  • Applications of GANs in image synthesis and style transfer
  • Hands-on: Implementing a simple GAN for image generation

Module 6: Transfer Learning and Pre-trained Models

  • Leveraging pre-trained models for various tasks
  • Fine-tuning and feature extraction approaches
  • Using popular pre-trained models like VGG, ResNet, and BERT
  • Hands-on: Adapting a pre-trained model for a custom task

Module 7: Capstone Project

  • Integrating knowledge from all modules into a final project
  • Identifying a real-world problem to solve using Deep Learning
  • Designing, implementing, and presenting the solution

Module 8: Emerging Trends in AI and Deep Learning

  • Exploring cutting-edge topics like Explainable AI, Quantum Machine Learning, etc.
  • Staying updated with the latest research and trends in AI