Loss Functions courses and certifications

DeepLearning.AI

Custom Models, Layers, and Loss Functions with TensorFlow

4.91,110 ratings

In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network. • Build custom loss functions (including the contrastive loss function used in a Siamese netwo…

Coursera
At the rate of 5 hours a week, it typically takes 4 weeks to complete this cour…
Self-paced
Paid · free trial
Paid certificate

Harvard University

Learning - Lecture 4 - CS50's Introduction to Artificial Intelligence with Python 2020

00:00:00 - Introduction 00:00:15 - Machine Learning 00:01:15 - Supervised Learning 00:08:11 - Nearest-Neighbor Classification 00:12:30 - Perceptron Learning 00:33:19 - Support Vector Machines 00:39:31 - Regression 00:42:37 - Loss Functions 00:49:33 - Overfitting 00:55:44 - Regularization 00:59:42 -…

Free video

YouTube
2 hours
Self-paced
Free video

Stanford University

Stanford EE104: Introduction to Machine Learning Full Course

Lectures by Professor Sanjay Lall, Stanford University. Introduction to machine learning. Topics Include: Formulation of supervised and unsupervised learning problems. Regression and classification. Data standardization and feature engineering. Loss function selection and its effect on learning. Re…

Video playlist

YouTube
19 videos, 14 hours
Self-paced
Free video

IBM

PyTorch Basics for Machine Learning

3.526 ratings

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you st…

edX
5 weeks, 2 - 4 hours per week
Self-paced
Free to audit
Paid certificate
Beginner

DeepLearning.AI

TensorFlow: Advanced Techniques

Expand your skill set and master TensorFlow

Learning path or series

Coursera
Self-paced
Paid · free trial
Paid certificate

University of Colorado Boulder

Introduction to Deep Learning

4.619 ratings

Introduction to Deep Learning provides a rigorous, concept-driven introduction to the models that power modern AI systems—from image recognition to large language models. You’ll build neural networks from first principles, understanding how forward passes, loss functions, and backpropagation enable…

Coursera
5 - 6 weeks of study
Self-paced
Paid · free trial
Paid certificate

Coursera

Deep Learning with PyTorch : Siamese Network

4.749 ratings

In this 2-hour long guided-project course, you will learn how to implement a Siamese Network, you will train the network with the Triplet loss function. You will create Anchor, Positive and Negative image dataset, which will be the inputs of triplet loss function, through which the network will lea…

Coursera
2 hours
Self-paced
Paid · free trial
Paid certificate

CodeSignal

Neural Networks from Scratch using C++

Build Neural Networks from scratch with C++. Master every detail, from neurons to backpropagation, and apply your own library to real-world ML challenges.

edX
Self-paced
Free to audit
Paid certificate
Intermediate

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