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

6235 ratings at Udemy

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

• Udemy
• 12 hours 49 minutes
• On-Demand
• Paid Course

Unsupervised Deep Learning in Python

2473 ratings at Udemy

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

• Udemy
• 10 hours 3 minutes
• On-Demand
• Paid Course

Deep Learning with Keras and Tensorflow

1026 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 21 minutes
• On-Demand
• Paid Course

Deep Learning Foundation

39 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 and Keras

17 ratings at edX

Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techni…

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

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

Data Science Courses

Deep Learning - Fall 2015

Master deep learning fundamentals through neural networks, CNNs, RNNs, Word2vec, and practical implementation with Theano and Keras frameworks.

• YouTube
• 16 hours 46 minutes
• On-Demand
• Free Video

Artem Kirsanov

Boltzmann Machines - The Grandfather of Generative Models

Explore Boltzmann Machines, early generative models learning data probability distributions using stochastic rules and latent representations. Understand their goals, distribution, update rules, and evolution to Restricted Boltzmann Machines.

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

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

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

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

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