Hyperparameters Courses and Certifications

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

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

Data Science: Supervised Machine Learning in Python

3342 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

Machine Learning - Regression and Classification (math Inc.)

481 ratings at Udemy

A complete Beginner to Advance level guide to Machine Learning. Hands-on Learning approach with in-depth math concepts

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

Artificial Neural Networks(ANN) Made Easy

75 ratings at Udemy

Learn ANN Model Building and Fine-tuning ANN hyper-parameters on Python and TensorFlow

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

Advanced Computer Vision and Deep Learning

1 review

Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.

• Udacity
• 2 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Brandon Rohrer

How Convolutional Neural Networks Work

1 review

Explore the inner workings of Convolutional Neural Networks, from basic concepts to advanced techniques, in this comprehensive guided tour of deep learning architecture.

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

Yannic Kilcher

LLaMA- Open and Efficient Foundation Language Models - Paper Explained

1 review

Detailed explanation of Meta's LLaMA language models, covering training data, architecture, implementation, and performance. Explores how smaller models can outperform larger ones with optimized training.

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

Training Machines to Learn the Way Humans Do - An Alternative to Backpropagation

Explore an alternative to backpropagation in machine learning, focusing on biologically-inspired local learning methods and their applications in neural networks and the cerebellum.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Online Course

Neural Networks and Convolutional Neural Networks Essential Training

530 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 hour 19 minutes
• On-Demand
• Free Trial Available

Introduction to Deep Learning with PyTorch

25 ratings at DataCamp

Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters, and tackle classification and regression problems.

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

Fields Institute

MCMC Training of Bayesian Neural Networks

Explore Bayesian Neural Networks, MCMC methods, and their applications in machine learning with Prof. Radford Neal. Gain insights into flexible modeling and practical implementations.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Online Course

NDC Conferences

Inside GPT - Large Language Models Demystified

Demystifying GPT algorithms: from fundamentals to advanced applications. Explore NLP concepts, model training, ChatGPT capabilities, and practical implementation strategies for leveraging AI in your solutions.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

Tejas Kumar

How to Fine-Tune Your Own Language Model - OpenPipe CEO Kyle Corbitt

Explore fine-tuning language models with OpenPipe's CEO. Learn about model selection, data curation, hyperparameter optimization, and validation processes for efficient AI development and deployment.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Online Course

TensorFlow

Intro to Deep Learning - ML Tech Talks

Comprehensive introduction to deep learning concepts, neural network architectures, and practical applications, featuring TensorFlow examples, code demos, and insights into representation learning and model interpretability.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Online Course

Andrej Karpathy

Building Makemore - MLP

Implement a multilayer perceptron character-level language model, covering machine learning basics like model training, hyperparameter tuning, evaluation, and addressing under/overfitting.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Online Course