Deep Learning with TensorFlow: Mini-Course

Learn Artificial Neural Networks using TensorFlow and Keras
Rating: 4.1 out of 5 (29 ratings)
3,942 students
Deep Learning with TensorFlow: Mini-Course
Rating: 4.1 out of 5 (29 ratings)
3,944 students
Deep Learning using Keras and TensorFlow
Artificial Neural Networks
How Artificial Neural Networks Work
How Artificial Neural Networks Learn
Loss Functions used in Artificial Neural Networks
Activation Functions used in Artificial Neural Networks
Cost Functions used in Artificial Neural Networks
Optimizer Functions used in Artificial Neural Networks
What Backpropagation is
Different Types of Gradient Descent
How to Choose an Activation Function
Preparing your Data for Deep Learning Models
Monitoring Loss Functions
Monitoring Model Metrics
Use of CallBacks in Deep Learning
Fighting overfitting in TensorFlow
Convolutional Neural Networks

Requirements

  • A little Python programming experience wouldn't hurt ;)

Description

In this course, you'll learn how to use Google TensorFlow to build your own deep learning models. We'll take you from the basics of artificial neural networks and later show you how to build them using Keras and TensorFlow. We'll walk through practical examples so that you can get a hand-on experience at working with TensorFlow and Keras.

Who this course is for:

  • Individual who would like to learn about deep learning

Course content

3 sections • 16 lectures • 51m total length
  • Introduction
    11:51
  • Assignment - Introduce Yourself
    00:11
  • Thank You!
    00:32

Instructors

Data Scientist | Author | Mentor
Derrick Mwiti
  • 4.1 Instructor Rating
  • 76 Reviews
  • 9,781 Students
  • 4 Courses

Derrick Mwiti is a data scientist who has a great passion for sharing knowledge. He is an avid contributor to the data science community via blogs such as Heartbeat, Towards Data Science, Datacamp, Neptune AI, KDNuggets just to mention a few. Derrick is also an author and online instructor. He also trains and works with various institutions to implement data science solutions as well as to upskill their staff.

Derrick’s studied Mathematics and Computer Science from the Multimedia University, he also is an alumnus of the Meltwater Entrepreneurial School of Technology.

When Derrick is not staring at his computer, he enjoys reading and traveling

Data Science Instructor
Namespace Labs
  • 4.1 Instructor Rating
  • 76 Reviews
  • 9,781 Students
  • 4 Courses

Namespace Labs is committed to advancing the data science field by sharing the latest tools and technologies. Our bid is to create content that help new people entering the field as well as advance the skills of those in the field. We also aim at building data science solutions that eliminate redundancies, offer useful business insights, and help businesses achieve customer satisfaction through speedy, quality service delivery.