Loss Functions Courses and Certifications

Alfredo Canziani

CNN Loss

Explore convolutional neural network loss functions, including mean square error, cross-entropy, and negative log likelihood, with practical examples and implementation insights.

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

Yannic Kilcher

Supervised Contrastive Learning

Explore a novel supervised learning approach that outperforms cross-entropy loss, improving image classification models' performance and robustness across various architectures and data augmentations.

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

Stanford Seminar - Deep Learning in Speech Recognition

Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Online Course

Foundations of Optimization Algorithms

Master optimization algorithms from Newton's Method to adaptive learning rates, covering gradient descent, momentum techniques, and Adagrad for effective machine learning model tuning.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Neural Networks with TensorFlow

Master neural networks and deep learning fundamentals using TensorFlow, from data preprocessing to model training. Build and optimize architectures, implement activation functions, and enhance model performance with the Digits dataset.

• CodeSignal
• On-Demand
• Free Certificate

The Complete Neural Networks Bootcamp: Theory, Applications

2459 ratings at Udemy

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

• Udemy
• 1 day 19 hours 47 minutes
• On-Demand
• Paid Course

Intro to Deep Learning project in TensorFlow 2.x and Python

78 ratings at Udemy

Advanced implementation of regression modelling techniques like lasso regression in TensorFlow

• Udemy
• 5 hours 43 minutes
• On-Demand
• Paid Course

Introduction to Deep Learning with PyTorch

35 ratings at DataCamp

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

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

Linear Classifiers in Python

30 ratings at DataCamp

In this course you will learn the details of linear classifiers like logistic regression and SVM.

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

Packt

Deep Learning - Artificial Neural Networks with TensorFlow

Explore deep learning and artificial neural networks using TensorFlow. Learn foundational concepts, implement ANN models, and optimize deep learning models through hands-on examples and practical applications.

• Coursera
• 6 hours 46 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Foundations and Core Concepts of PyTorch

Master PyTorch fundamentals: from setup to advanced modeling. Build neural networks, optimize performance, and apply deep learning techniques to real-world problems using hands-on exercises and practical implementations.

• Coursera
• 6 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 4 minutes
• On-Demand
• Free Online Course (Audit)

PyTorch and Monai for AI Healthcare Imaging - Python Machine Learning Course

2 reviews

Develop AI algorithms for liver segmentation using PyTorch and Monai. Learn computer vision techniques, data preparation, and model training for healthcare imaging applications.

• freeCodeCamp
• 5 hours
• On-Demand
• Free Video

Deep Learning Crash Course for Beginners

1 review

Comprehensive introduction to deep learning fundamentals, covering neural networks, learning types, architectures, and model development steps. No coding required, ideal for beginners.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

ETA Prediction with Graph Neural Networks in Google Maps - Paper Explained

1 review

Explore Graph Neural Networks for ETA prediction in Google Maps, covering graph formation, features, GNN architecture, loss functions, baselines, inference, and experimental results.

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