Deep Learning Specilization

Whether you’re a novice or an experienced professional, our curated courses cater to diverse skill levels, providing a comprehensive and hands-on learning experience.

Skills You Will Gain

Image Processing

Text Processing




Object Tracking

Object Detection

Text Classification

Long Short Term Memory (LSTM)



This course includes

Syllabus Overview

Data Science with Machine Learning

  • – Understanding Artificial Intelligence (AI) and Machine Learning (ML)
    – Basics of Neural Networks
    – Perceptrons and Activation Functions
  • Exploring lists, sets, dictionaries, tuples.
  • Classes, objects, inheritance, polymorphism.
  • Try-except blocks, custom exceptions, and best practices.
  • – Regularization: Dropout and L2 Regularization
    – Weight Initialization
    – Optimization Algorithms (SGD, RMSprop, Adam)
  • – Project Scope and Objectives
    – Data Splitting and Cross-Validation
    – Model Selection and Evaluation Metrics
  • – Introduction to CNNs
    – CNN Architectures (LeNet, AlexNet, VGG, etc.)
    – Hands-on CNN Implementation
  • – Transfer Learning and Fine-Tuning
    – Object Detection with CNNs
    – Image Segmentation
  • – Introduction to RNNs and LSTMs
    – Applications of Sequence Models
    – Hands-on Sequence Model Implementation
  • – Introduction to NLP
    – Text Preprocessing and Tokenization
    – Word Embeddings (Word2Vec, GloVe)
  • – Text Generation with RNNs
    – Sentiment Analysis with RNNs
    – Sequence-to-Sequence Models
  • – Introduction to GANs
    – GAN Architecture (Generator and Discriminator)
    – Applications of GANs (Image Generation, Style Transfer)

  • – Basics of Reinforcement Learning
    – Markov Decision Processes (MDPs)
    – Q-Learning and Deep Q-Networks (DQNs)
  • – Model Deployment (Cloud, Edge, On-Premises)
    – Ethical Considerations in AI
    – Future Trends in AI and Deep Learning

    Each week should include a mix of theoretical concepts, hands-on coding exercises, and practical applications. You can adjust the content based on the prior knowledge and interests of your target audience, and provide additional resources and reading materials for those who want to dive deeper into specific topics.

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