Coursera Keras Courses List

As an online course platform, Coursera offers a range of Keras courses to help learners gain a better understanding of the popular deep learning library. From introductory courses to more advanced topics, Coursera provides a comprehensive selection of courses to help learners develop their skills in Keras. With expert instructors and interactive learning experiences, Coursera's Keras courses are great resource to get started with deep learning.

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Introduction to Deep Learning & Neural Networks with Keras

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4.0/5
Coursera Coursera
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This course provides an introduction to the field of deep learning and neural networks, using the Keras library. Participants will gain an understanding of the fundamentals of deep learning, explore different models, and build their first deep learning model. View all

Facial Expression Recognition with Keras

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5.0/5
Coursera Coursera 218 218 learners
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This project-based course on Coursera's Rhyme platform will teach you how to build and train a convolutional neural network (CNN) in Keras to recognize facial expressions. You will use OpenCV to detect faces in images and draw bounding boxes around them. After training, saving, and exporting the CNN, you will directly serve the trained model to a web interface and perform real-time facial expression recognition on video and image data. With instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed, you can focus on learning and get the most out of this course. This course is best suited for learners based in North America. View all

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Creating Custom Callbacks in Keras

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5.0/5
Coursera Coursera 214 214 learners
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This 1.5-hour long project-based course on Coursera's Rhyme platform will teach you how to create a custom callback function in Keras and use it during a model training process. You will learn to write a log file, plot the training metrics in a graph, and reduce the learning rate during the training with each epoch. With pre-configured cloud desktops containing all the software and data you need, you can focus on learning without worrying about the setup. Prerequisites include familiarity with Python, Neural Networks, and the Keras framework. This course is best suited for learners based in North America. View all

Image Denoising Using AutoEncoders in Keras and Python

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5.0/5
Coursera Coursera 101 101 learners
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This 1-hour long project-based course will teach you how to use Autoencoders in Keras and Python to denoise images. You will learn how to import key libraries, dataset and visualize images, perform image normalization, pre-processing, and add random noise to images. You will also build an Autoencoder using Keras with Tensorflow 2.0 as a backend, compile and fit Autoencoder model to training data, and assess the performance of trained Autoencoder using various KPIs. This course is best suited for learners based in the North America region. View all

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Create Custom Layers in Keras

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5.0/5
Coursera Coursera 101 101 learners
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This 1-hour long project-based course on Coursera's Rhyme platform will teach you how to create a custom layer in Keras and use it to solve a multi-class classification problem. You will get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed, and you will compare your activation layer with the more commonly used ReLU activation layer. Prerequisites include familiarity with Python programming, neural networks, and Keras. You will be able to access the cloud desktop 5 times and the instruction videos as many times as you want. This course works best for learners based in North America. View all

Traffic Sign Classification Using Deep Learning in Python&Keras

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5.0/5
Coursera Coursera 99 99 learners
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This course is perfect for anyone interested in learning how to use Deep Learning to classify traffic signs. With the help of Python and Keras, you will be able to build a Convolutional Neural Network (CNN) and use it to classify traffic signs with high accuracy. You will also learn how to improve the performance of your model using regularization techniques. So, join this course and start your journey to becoming a Deep Learning expert! View all

Understanding Deepfakes with Keras

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5.0/5
Coursera Coursera 85 85 learners
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This course is perfect for those who want to learn how to implement and train DCGAN to generate realistic looking synthesized images. With this 2-hour long project-based course, you will get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. You will also need some prior experience with Python programming and a theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent. This course works best for learners based in the North America region. View all

Build Multilayer Perceptron Models with Keras

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5.0/5
Coursera Coursera 81 81 learners
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This 45-minute project-based course on Coursera's Rhyme platform will teach you how to build and train a multilayer perceptron (MLP) model using Keras and Tensorflow. You will work with the Reuters dataset, a set of short newswires and their topics, and learn to classify them into 46 different mutually-exclusive topics. With the cloud desktop pre-configured with Python, Jupyter, and Keras, you can focus on learning and get instant access to the software and data you need. This course is best suited for learners based in North America, with access to the cloud desktop 5 times. View all

Named Entity Recognition using LSTMs with Keras

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4.0/5
Coursera Coursera 67 67 learners
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This 1-hour long project-based course on Coursera's Rhyme platform will teach you how to use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. You will get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed, and you will be able to access the cloud desktop 5 times. This course is best suited for learners based in the North America region. Don't miss out on this opportunity to learn Named Entity Recognition using LSTMs with Keras! View all

Classify Radio Signals from Space using Keras

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4.0/5
Coursera Coursera 57 57 learners
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This project-based course on Coursera's Rhyme platform will teach you the basics of using Keras with TensorFlow to solve an image classification problem. You will use 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute to build and train a convolutional neural network from scratch. With instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed, you can focus on learning and get the most out of this course. This course is best suited for learners based in North America, with access to the cloud desktop 5 times. View all

Generate Synthetic Images with DCGANs in Keras

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4.0/5
Coursera Coursera 50 50 learners
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This course on Coursera's Rhyme platform will teach you how to generate synthetic images with Deep Convolutional GANs (DCGANs) in Keras. You will learn about Generative Adversarial Networks (GANs) and build and train a DCGAN with Keras to generate images of fashionable clothes. You will get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed, and you can access the cloud desktop 5 times. This course is best suited for learners based in North America, but other regions are being worked on. View all

Convolutions for Text Classification with Keras

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4.0/5
Coursera Coursera 21 21 learners
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This course is perfect for those who want to learn how to use convolutions in natural language processing tasks such as text classification. With this hands-on, guided introduction to Text Classification using 1D Convolutions with Keras, you will be able to apply word embeddings, use 1D convolutions as feature extractors, and perform binary text classification using deep learning. As a case study, you will work on classifying a large number of Wikipedia comments as being either toxic or not. This course is best suited for those with prior experience in Python programming, deep learning theory, and have used either Tensorflow or Keras to build deep learning models. View all

Image Classification with CNNs using Keras

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5.0/5
Coursera Coursera 21 21 learners
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This 1-hour long project-based course on Coursera's Rhyme platform will teach you how to create and train a Convolutional Neural Network (CNN) in Keras with a TensorFlow backend to solve Image Classification problems. You will get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed, and you will be able to access the cloud desktop 5 times and instructions videos as many times as you want. This course is best suited for learners who are based in the North America region and have prior knowledge of python and convolutional neural networks. View all

Cifar-10 Image Classification with Keras and Tensorflow 20

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4.0/5
Coursera Coursera
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This course is perfect for anyone looking to learn how to build and train a deep neural network model to classify low-resolution images. Using Keras and Tensorflow 2.0, you will learn how to use the Cifar-10 dataset to classify airplanes, cars, birds, cats, ships, and trucks. This project is practical and directly applicable to many industries, making it a great way to learn the fundamentals of deep learning. View all

Classification of COVID19 using Chest X-ray Images in Keras

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5.0/5
Coursera Coursera
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This 1 hour long project-based course will teach you how to build and train a convolutional neural network in Keras with TensorFlow as backend from scratch to classify patients as infected with COVID or not using their chest x-ray images. You will learn to create an image classifier with Tensorflow by implementing a CNN to differentiate between chest x rays images with a COVID 19 infections versus without. By the end of this course, you will be able to make predictions on new data and perform data visualization. You should have a basic understanding of Python Programming language and Convolutional Neural Networks. Sign up now and learn to classify COVID19 using Chest X-ray Images in Keras! View all

Siamese Network with Triplet Loss in Keras

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5.0/5
Coursera Coursera 114 114 learners

Learn the basics of Siamese Network with Triplet Loss in Keras View all

Image Data Augmentation with Keras

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4.0/5
Coursera Coursera 86 86 learners

Learn the basics of Image Data Augmentation with Keras View all

Image Super Resolution Using Autoencoders in Keras

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5.0/5
Coursera Coursera 83 83 learners

Explore the essentials of Image Super Resolution Using Autoencoders in Keras View all

Anomaly Detection in Time Series Data with Keras

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4.0/5
Coursera Coursera 76 76 learners

Get a comprehensive overview of Anomaly Detection in Time Series Data with Keras View all

Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network Keras and R

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4.0/5
Coursera Coursera 40 40 learners

Learn the basics of Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R View all

Save Load and Export Models with Keras

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5.0/5
Coursera Coursera 10 10 learners

Get a comprehensive overview of Save, Load and Export Models with Keras View all

Brain Tumor Classification Using Keras

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4.0/5
Coursera Coursera

Explore the essentials of Brain Tumor Classification Using Keras View all

Redes neuronales convolucionales con Keras

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4.0/5
Coursera Coursera

Este proyecto es un curso práctico y efectivo para aprender a generar redes neuronales convolucionales con Python y Keras. Aprenderás desde cero los fundamentos del Deep Learning y a como crear este tipo de redes. View all

Bilddaten Augmentieren mit Keras

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4.0/5
Coursera Coursera

Daten Augmentieren mit Keras View all

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