Deep Learning: From Basics to Production

Deep Learning TensorFlow Python Neural Networks
27 Nov 2024 1 min
Beginner ★ ☆ ☆ ☆ ☆
Created at 27 Nov 2024

Course Overview

This course is designed for everyone from beginners to those looking to apply deep learning in production environments.

Learning Objectives

  • Understand fundamental neural network principles
  • Gain proficiency in TensorFlow/PyTorch
  • Train and evaluate models with real datasets
  • Experience production environment deployment

Course Structure

Part 1: Fundamental Theory

  • Basic neural network architecture
  • Backpropagation algorithm
  • Optimization techniques

Part 2: Practical Projects

  • Image classification with CNN
  • Time series prediction with RNN/LSTM
  • NLP with Transformer models

Part 3: Deployment & Optimization

  • Model optimization
  • TensorFlow Serving
  • Cloud deployment

Teaching Method

  • Online/Offline: Zoom or in-person sessions
  • Hands-on focused: Practical projects every session
  • 1:1 Feedback: Personal project code reviews

Target Audience

  • Developers familiar with Python basics
  • Those interested in machine learning
  • Anyone wanting to apply deep learning in practice

Contact

For course schedule and pricing inquiries, please reach out via email.