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Learn Keras, earn certificates with paid and free online courses from Purdue University, IIM Bangalore, IIT Roorkee, Tsinghua University and other top universities around the world. Read reviews to decide if a class is right for you.
Take your machine learning skills to the next level. Use the Keras library to create and optimize neural networks to model complex data types.
. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks?
Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R
Get up and running with deep learning with keras, a high level deep learning API
Deep Learning & Keras concepts, model, layers, modules. Build a Neural Network and Image Classification Model with Keras
Master deep learning with Keras and GANs. Build neural networks, predict outcomes, and generate realistic data. Gain expertise in AI-driven solutions for image generation and data augmentation.
Master deep learning with Keras: from wine quality prediction to advanced image classification using CNNs, transfer learning, and GPU acceleration. Optimize models, implement data augmentation, and deploy in real-world scenarios.
Learn advanced deep learning concepts including neural networks, VGG, residual connections, autoencoders, and GANs. Explore batch processing, reproducibility, and practical implementation in Keras.
Build and train fully connected neural networks using Keras for various machine learning tasks, including regression, binary classification, and multi-category classification. Learn to optimize, evaluate, save, and deploy models.
There has been a revolution in artificial intelligence (AI) and machine learning, and deep learning-based solutions are leading the charge. Implementing these solutions can be tedious to create and require you to write many lines of complex code. Keras…
Get a thorough introduction to Keras, a versatile deep learning framework, and learn how to build, deploy, and monitor robust deep learning models.
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
As machine learning and deep learning techniques become popular, the importance of intuitive and simple abstractions that enable fast development and quick prototyping of these models become critical. In this course, Building and Deploying Keras Models…
Learn to build, train, and deploy neural networks using Keras API. Covers data preprocessing, CNNs, transfer learning, and model deployment techniques for both front-end and back-end applications.
Explore deep learning concepts and implement models using Keras in Python. Learn about neural networks, CNNs, RNNs, LSTM, and more for practical applications like chatbots.
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