Restricted Boltzmann Machine Courses and Certifications

Serrano.Academy

Restricted Boltzmann Machines - A Friendly Introduction

Friendly introduction to Restricted Boltzmann Machines using real-life examples. Covers key concepts like probabilities, training, contrastive divergence, and Gibbs sampling for machine learning enthusiasts.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA

Explore how Restricted Boltzmann Machines can be applied to Maximum Satisfiability problems, leveraging neural network accelerators for efficient stochastic search in combinatorial optimization.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Recommender Systems and Deep Learning in Python

5651 ratings at Udemy

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

• Udemy
• 12 hours 31 minutes
• On-Demand
• Paid Course

Unsupervised Deep Learning in Python

2353 ratings at Udemy

Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA

• Udemy
• 10 hours 8 minutes
• On-Demand
• Paid Course

Deep Learning with Keras and Tensorflow

864 ratings at Coursera

Discover hidden structures in unstructured data using TensorFlow. Learn to build and apply deep learning models for various data types to solve real-world problems.

• Coursera
• 23 hours 51 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning Foundation

37 ratings at Udemy

Overview of Deep Learning concepts. Understand what are the Deep Learning Models, Platforms, Libraries and how they work

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

Deep Learning with Tensorflow

14 ratings at edX

Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.

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

Restricted Boltzmann Machines

Explore Restricted Boltzmann Machines: their layered structure, hidden and visible layers, statistical independence, and applications in modeling high-dimensional data like images.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Deep Learning Fundamentals

Explore neural networks, convolutional networks, and deep learning platforms. Learn key concepts, use cases, and popular software libraries for this powerful data science field.

• Cognitive Class
• 3 hours
• On-Demand
• Free Online Course

Serrano.Academy

Generative Models

Explore denoising autoencoders, VAEs, GANs, and RBMs in this comprehensive introduction to generative models, covering key concepts and applications in machine learning.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Serrano.Academy

Unsupervised Learning

Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Video

Serrano.Academy

Neural Networks

This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

APS Physics

Learning Quantum with Generative Models

Explore generative models for quantum state learning, covering neural networks, RBMs, and applications to GHZ states and local Hamiltonians.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Learning of Neural Networks with Quantum Computers and Learning of Quantum States with Graphical Models

Explores quantum algorithms for neural network learning and quantum state learning using graphical models, showcasing advancements in computational efficiency and sample complexity for specific quantum states.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Diving Deep into Deep Belief Networks (DBNs)

Dive into the world of deep belief networks (DBNs) and discover their significance. This course will teach you about restricted Boltzmann machines (RBMs) and DBNs, provide real-world data challenges, and expand your deep learning knowledge.

• Pluralsight
• 37 minutes
• On-Demand
• Free Trial Available