Deep Learning Specialization

Deep Learning Specialization

Course 1: Introduction to Deep Learning

 

Week 1: Basics of Deep Learning

Video Lectures: Overview of deep learning, neural networks, and their applications.

Readings: Fundamental concepts and history of deep learning.

Quiz: Basics of neural networks and deep learning.

 

Week 2: Neural Networks and Training

Video Lectures: Structure of neural networks, backpropagation, and optimization techniques.

Assignment: Build and train a simple neural network using a deep learning framework (e.g., TensorFlow or PyTorch).

Discussion Forum: Share experiences and challenges in building neural networks.

 

Week 3: Convolutional Neural Networks (CNNs)

Video Lectures: Introduction to CNNs and their applications in image processing.

Assignment: Implement and train a CNN for image classification.

Quiz: Concepts and architectures of CNNs.

 

Course 2: Advanced Deep Learning Techniques

 

Week 4: Recurrent Neural Networks (RNNs) and LSTMs

Video Lectures: RNNs and Long Short-Term Memory (LSTM) networks for sequence modeling.

Assignment: Develop an RNN or LSTM model for a time-series prediction task.

Peer Review: Provide feedback on peers' sequence models.

 

Week 5: Generative Adversarial Networks (GANs)

Video Lectures: Understanding GANs and their applications in generating synthetic data.

Project: Build and evaluate a GAN for image generation or other applications.

Discussion Forum: Discuss the challenges and innovations in GANs.

 

Week 6: Deep Learning for Natural Language Processing (NLP)

Video Lectures: Deep learning techniques for NLP, including embeddings and transformers.

Assignment: Implement a deep learning model for text classification or sentiment analysis.

 Quiz: NLP techniques and their implementation.

 

Course 3: Deep Learning in Practice

 

Week 7: Model Deployment and Production

Video Lectures: Strategies for deploying deep learning models in production environments.

Project: Deploy a deep learning model using cloud platforms or container technologies.

Peer Review: Evaluate and provide feedback on deployment strategies.

 

Week 8: Emerging Trends and Future Directions

Video Lectures: Latest trends and future directions in deep learning research and applications.

Discussion Forum: Explore and debate emerging trends and innovations in deep learning.