Python for Deep Learning: Build Neural Networks in Python

Course Overview

• Course Title: Python for Deep Learning: Build Neural Networks in Python
• Instructor: Meta Brains
• Target Audience:
  • Beginners and experts in deep learning
  • Individuals with basic Python coding experience
  • Those with a passion for learning deep learning and artificial intelligence
• Prerequisites:
  • Experience with the basics of coding in Python
  • Basic mathematical skills
  • Readiness, flexibility, and passion for learning

Curriculum Highlights

• Key Topics Covered:
  • Fundamentals of Deep Learning theory
  • Using Deep Learning in Python
  • Different frameworks in Python for deep learning and AI
  • Linear regression, polynomial regression, and multivariate regression
  • Building artificial neural networks with Tensorflow and Keras
• Key Skills Learned:
  • Creating programs for data input and feature extraction
  • Automating real-world tasks using deep learning
  • Essential basics for a deep learning journey

Course Format

• Duration: 2 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 2 articles
  • 6 downloadable resources
  • Access on mobile and TV
  • Certificate of completion