24 Related Courses
for Coursera Keras CoursesIntroduction to Deep Learning & Neural Networks with Keras
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Learn the basics of Siamese Network with Triplet Loss in Keras View all
Image Data Augmentation with Keras
Learn the basics of Image Data Augmentation with Keras View all
Image Super Resolution Using Autoencoders in Keras
Explore the essentials of Image Super Resolution Using Autoencoders in Keras View all
Anomaly Detection in Time Series Data with Keras
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
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
Get a comprehensive overview of Save, Load and Export Models with Keras View all
Brain Tumor Classification Using Keras
Explore the essentials of Brain Tumor Classification Using Keras View all
Redes neuronales convolucionales con Keras
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
Daten Augmentieren mit Keras View all
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