Activation Functions Courses and Certifications

Google Cloud;  Google

TensorFlow on Google Cloud

2752 ratings at Coursera

Master TensorFlow and Keras with Google Cloud's 3-week course, focusing on building, improving, and scaling ML models.

• Coursera
• 13 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Deep Neural Networks with PyTorch

1608 ratings at Coursera

Learn to develop deep learning models with PyTorch in a 7-week course by IBM. Covers linear regression, neural networks, convolutional networks, transfer learning, and more.

• Coursera
• 1 day 6 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning: Visual Exploration

193 ratings at Udemy

Gain a deep understanding of neural networks with this 4-5 hour course. Learn how they work, form decision boundaries, and make accurate predictions, all explained visually and without complex math.

• Udemy
• 4 hours 2 minutes
• On-Demand
• Paid Course

The Complete Healthcare Artificial Intelligence Course 2022

63 ratings at Udemy

Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning and Deep Learning

• Udemy
• 19 hours
• On-Demand
• Paid Course

Deep Learning Fundamentals with Keras

14 ratings at edX

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Convolutional Neural Networks: Deep Learning

9 ratings at Udemy

Learn and implement Convolutional Neural Networks (CNN) using Python in this 2-3 hour course. Gain a deep understanding of deep learning, 2D signals, and apply CNN in real-time applications.

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

Deep Learning Crash Course for Beginners

1 review

Dive into the basics of Deep Learning in this beginner-friendly crash course. Learn about neural networks, terminologies, learning types, and model optimization in just 1-2 hours.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Online Course

Neural Networks from Scratch in Python

Neural Networks from Scratch - P.1 Intro and Neuron Code. Coding a Layer. The Dot Product. Hidden Layer Activation Functions. Softmax Activation. Calculating Loss with Categorical Cross-Entropy. Implementing Loss with Loss.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Introduction to TensorFlow in Python

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Subspace Capsule Network

Explore the principles of Subspace Capsule Networks with the University of Central Florida. Learn about SCN, CapsNet, activation functions, and image classification in under an hour.

• YouTube
• 22 minutes
• On-Demand
• Free Online Course

Training Neural Networks in C++

222 ratings at LinkedIn Learning

Are you interested in neural networks or machine learning? Learn about the components of a neural network, as well as how to build and train one in C++.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Neural Networks and Convolutional Neural Networks Essential Training

189 ratings at LinkedIn Learning

Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Deep Learning: Getting Started

154 ratings at LinkedIn Learning

Learn the basics of deep learning and get up and running with this technology.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Training Neural Networks in Python

113 ratings at LinkedIn Learning

Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Foundations of PyTorch

56 ratings at Pluralsight

This course covers many aspects of building deep learning models in PyTorch, including neurons and neural networks, and how PyTorch uses differential calculus to train such models and create dynamic computation graphs in deep learning.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available