Course curriculum

  • 1
    Introduction to Deep Learning
    • Exploring Deep Learning
    • Deep Learning Epochs
    • Neuron Know-How
    • Lets get Networking
    • Following the “Framework”
    • Scalars and Vectors
    • Building a neuron with PyTorch
    • Quiz
    • Course Handouts
  • 2
    Understanding the working of Neural Networks
    • How are Neural Networks trained - Forward Propagation
    • Understanding Loss Functions + Hands on
    • Reading: Creating a Custom Loss Function (Optional)
    • Optimization Techniques - Gradient Descent
    • What is Back Propagation?
    • Types of Gradient Descent
    • Common Optimization Techniques - Part 1
    • Common Optimization Techniques - Part 2
    • Building a Deep Neural Network (Hands-on Regression Model)
    • Building a Deep Neural Network (Hands-on Classification Model)
    • Quiz
  • 3
    Improving Deep Neural Networks
    • Problems in Deep Neural Networks
    • The Solution to Vanishing and Exploding Gradients - Part 1
    • Reading: Softmax Activation Function
    • The Solution to Vanishing and Exploding Gradients - Part 2
    • Hands-On - Vanishing and Exploding Gradients
    • How to fix an Overfitting Model
    • Solving Overfitting for Zeta Analytics
    • Fine-tuning Model Hyperparameters + Hands-On
    • Model Saving using PyTorch + Hands-On
    • Quiz
  • 4
    Guided Project
    • Project: Multi-classification Problem for HealthHabit

Introduction to Deep learning using PyTorch

This course will help you build a deep understanding of what Deep Learning is. After this course, you will be able to build advanced Deep Learning Models using the PyTorch framework. With a carefully curated list of resources and exercises, this course is your all-in-one guide to becoming a deep learning expert. It is highly recommended that before taking up this course, you complete the advanced Machine Learning course.

Who Should Enroll:

  • Professionals: Individuals looking to expand their skill set and apply deep learning across different industries.
  • Aspiring Students: For those setting out on their journey to mastering deep learning and making a mark in the tech world.

Key Takeaways from the course

  • Learn Pytorch, and Deep Learning techniques and build real-world Deep Learning Models.

  • Hands-On Experience: Engage with exercises designed to reinforce your learning and apply concepts in real-world scenarios.

What do I need to start the course

  • A working laptop/desktop and an internet connection

  • Large space in your laptop to download necessary files