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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.
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…
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…
Coursera
Optimize Deep Learning: Tune PyTorch Models is an intermediate course for deep learning practitioners ready to move beyond off-the-shelf training and gain granular control over their models. Standard training loops can hide critical issues, leading to unstable performance and suboptimal results. Th…
Coursera
In this 1 hour long guided project, you will learn to create and train multi-task, multi-output models with Keras. You will learn to use Keras' functional API to create a multi output model which will be trained to learn two different labels given the same input example. The model will have one inp…
Coursera
In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could…
Coursera
This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub. By the time you complete this project, you will be able to use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, bui…
Board Infinity
"Production Deep Learning: Inference, Quantization & Edge Deployment is designed for ML engineers and developers who want to master the full deployment lifecycle — from compressing and quantizing models to serving them at scale using vLLM, Triton, ONNX, and Llama.cpp. Module 1 covers model compress…
Edureka
Transfer learning has transformed modern artificial intelligence by making it possible to build powerful AI solutions without training models from scratch. This course provides a practical introduction to machine learning, neural networks, transfer learning, and transformer architectures while help…
Coursera
Advance your skills in spatial analysis and machine learning for geospatial data. This course covers geostatistics, LiDAR and 3D data processing, and supervised machine learning techniques. You will also learn how to apply deep learning methods for imagery analysis. By the end of the course, you wi…
Board Infinity
This Deep Learning and Neural Networks in Production course equips you with the skills to design, train, and deploy neural networks using PyTorch, TensorFlow, FastAPI, and Docker. Whether you're building models from scratch or serving them in production, this course bridges the gap between deep lea…
Coursera
Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Local…
Coursera
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
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
Hello everyone and welcome to this new hands-on project on image classification with Amazon Web Services (AWS) AutoGluon. In this project, we will train several deep neural networks models to classify images using a powerful library known as AutoGluon. AutoGluon is the library behind AWS SageMaker…
Coursera
In this 2-hour guided project, you are going to use EfficientNet model and train it on Pneumonia Chest X-Ray dataset. The dataset consist of nearly 5600 Chest X-Ray images and two categories (Pneumonia/Normal). Our main aim for this project is to build a pneumonia classifier which can classify Ches…
Coursera
Neural network training failures can derail even the most promising AI projects. This course transforms your debugging capabilities by teaching systematic analysis of training dynamics to catch critical issues before they compromise model performance. This Short Course was created to help ML and AI…
Coursera
In this 2-hour long project-based course, you will learn how to implement Linear Regression using Python and Numpy. Linear Regression is an important, fundamental concept if you want break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations…
Coursera
Building Vision and NLP Workflows with TensorFlow and Transformers focuses on developing machine learning pipelines for computer vision and natural language processing tasks. In this course, you will learn how modern AI applications process images and text using deep learning frameworks and transfo…
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
In this hands-on guided project, we will predict real estate prices with deep learning. In this project, we will predict home sale prices in King County in the U.S. between May, 2014 and May, 2015 using several features such as number of bedrooms, bathrooms, view, and square footage. This guided pr…
