Build and train your first neural network with hands-on coding
Back to AcademyBuild real neural networks with TensorFlow through hands-on projects
Get started with TensorFlow and Keras. Learn about tensors, operations, and set up your development environment for neural network projects.
Start CodingLoad and preprocess the famous MNIST handwritten digits dataset. Learn data normalization, reshaping, and visualization techniques.
Start CodingCreate a simple feedforward neural network using Keras. Understand layers, activation functions, and model compilation.
Start CodingTrain your neural network and understand the training process. Learn about loss functions, optimizers, and monitoring training progress.
Start CodingEvaluate your model's performance using various metrics. Learn techniques to improve accuracy and prevent overfitting.
Start CodingBuild a CNN for improved MNIST performance and learn how to save, load, and deploy your trained models.
Start Coding💻 Ready to build neural networks? Each lesson includes complete code examples and exercises!
This practical course takes you from TensorFlow basics to building and deploying complete neural network models. You'll work with real datasets, implement different architectures, and learn industry best practices.
By the end of this course, you'll have built several neural networks from scratch, including a complete MNIST digit classifier, and understand how to optimize and deploy models in production environments.