beginnerCertificateFree
Intro to Deep Learning
by Ryan Holbrook · Kaggle
4.5(5,600 reviews)
300K+ enrolled4 hoursUpdated 2024-03
What You'll Learn
Understand the fundamentals and key concepts of neural networks
Apply neural networks techniques to solve real-world problems
Understand the fundamentals and key concepts of TensorFlow
Apply TensorFlow techniques to solve real-world problems
Understand the fundamentals and key concepts of Keras
Apply Keras techniques to solve real-world problems
About This Course
Build and optimize deep neural networks with TensorFlow and Keras through hands-on exercises.
Curriculum
Module 1: Neural networks & TensorFlow6 lessons
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
- Introduction to TensorFlow
- TensorFlow in Practice
- Hands-on Exercise: TensorFlow
Module 2: Keras & Overfitting6 lessons
- Introduction to Keras
- Keras in Practice
- Hands-on Exercise: Keras
- Introduction to overfitting
- Overfitting in Practice
- Hands-on Exercise: Overfitting
Module 3: Dropout3 lessons
- Introduction to dropout
- Dropout in Practice
- Hands-on Exercise: Dropout
Instructor
Ryan Holbrook
Instructor at Kaggle
Pros & Cons
Pros
- Completely free to access
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Ryan Holbrook
Cons
- May be too basic for experienced practitioners
- Self-paced requires discipline
Free
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