Mastering Deep Learning in 30 Days: A Comprehensive Journey
deep learning AI courses. Artificial Intelligence Course in Kollam Kerala
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Day 1-3: Python Programming and NumPy Introduction
- Set up Python and Jupyter Notebook
- Acquire foundational Python skills (data types, loops, functions, etc.)
- Dive into NumPy for numerical computing
Day 4-6: Machine Learning Kickstart with Scikit-learn
- Explore the capabilities of scikit-learn for machine learning.
- Delve into supervised learning algorithms like linear regression, logistic regression, and decision trees.
Day 7-9: Deep Dive into Keras for Deep Learning
- Introduction to the Keras library for deep learning
- Construct and train basic neural networks for classification tasks
Day 10-12: Exploring Convolutional Neural Networks (CNNs)
- Gain insights into CNNs and their practical applications
- Construct and train a CNN for image classification
Day 13-15: Concept of Recurrent Neural Networks (RNNs)
- Explore the applications of RNNs
- Construct and train an RNN for text classification
Day 16-18: AutoencodersExplained
- Understand the concept of autoencoders and their uses
- Construct and train an autoencoder for image compression
Day 19-21: Mastering Generative Adversarial Networks (GANs)
- Explore the world of GANs and their applications
- Construct and train a GAN for generating synthetic images
Day 22: Introduction to Reinforcement Learning
- Get acquainted with the fundamentals of reinforcement learning
- Learn the Q-learning algorithm and build a game-playing AI agent
Day 23-25: Deployment and Serving Strategies
- Deploy a trained model on a cloud platform like Google Cloud or AWS
- Develop a simple web application to serve the deployed model
Day 25-30: Advanced Topics and Capstone Project
- Deepen your knowledge with advanced topics: transfer learning, object detection, and natural language processing
- Apply deep learning techniques to a real-world problem in the capstone project
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