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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
CertNexus
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classific…
Coursera
In this 2-hour long guided project, we are going to create a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natur…
Coursera
In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as n…
CodeSignal
Build advanced text classification skills for natural language processing, from collecting and preparing text data to training and optimizing models. Work with feature engineering, classical machine learning, ensemble methods, and deep learning approaches.
Coursera
In this two hour project-based course, you will implement Deep Convolutional Generative Adversarial Network using PyTorch to generate handwritten digits. You will create a generator that will learn to generate images that look real and a discriminator that will learn to tell real images apart from…
Coursera
This is a hands-on, guided project on optimizing your TensorFlow models for inference with NVIDIA's TensorRT. By the end of this 1.5 hour long project, you will be able to optimize Tensorflow models using the TensorFlow integration of NVIDIA's TensorRT (TF-TRT), use TF-TRT to optimize several deep…
Maven Analytics
As data professionals in the age of AI, we now have access to tools that give us superpowers to work smarter and faster than ever before. In this course we’ll introduce you to the world of deep learning and generative AI, explore the rapid rise of large language models like ChatGPT and Gemini, and…
Coursera
Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. In this 2-hour project-based course, you will be able to understand the Object Localization Dataset and you will writ…
Coursera
In this 2-hour long guided project, we will use a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia and COVID-19. Our objective in this project is to create an image classif…
International Supply Chain Education Alliance
Learn the fundamentals, applications, and use cases for supply chain transformation with AI and Gen-AI.
Coursera
In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In…
Coursera
In this 2-hour project-based course, you will be able to : - Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will use…
Microsoft
Landing a deep learning or MLOps role requires more than technical skills; it demands a compelling resume, a well-presented portfolio, and confident interview performance. This course prepares you to present your deep learning engineering experience effectively. You'll optimize your resume for mach…
CodeSignal
Build Neural Networks from scratch with C++. Master every detail, from neurons to backpropagation, and apply your own library to real-world ML challenges.
S.P. Jain Institute of Management and Research
This week we will begin with module 1- Introduction to AI, BIA and Overview of Data Mining. AI (Artificial Intelligence) is an umbrella term, encompassing various technologies and applications, including ML (Machine Learning) (this also included Deep Learning and Generative AI), Robotics, Computer…
Coursera
In this short, 1 hour long guided project, we will use a Convolutional Neural Network - the popular VGG16 model, and we will visualize various filters from different layers of the CNN. We will do this by using gradient ascent to visualize images that maximally activate specific filters from differe…
Arizona State University
This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will…
Xccelerate
Explore the realms of machine learning and deep learning. Build and evaluate classification and regression models, and understand clustering techniques and neural networks.
Coursera
Gradient-weighted Class Activation Mapping (Grad-CAM), uses the class-specific gradient information flowing into the final convolutional layer of a CNN to produce a coarse localization map of the important regions in the image. In this 2-hour long project-based course, you will implement GradCAM on…
Alison
This course begins by discussing the information tools designed to help decision-makers. You will study the function of Neural Networks, the four levels of expertise that can be applied to unstructured decisions, the process and three steps in decision making, and the differences between structured…
