deep-learning-keras-tensorflow

Why we included this project

This is a tutorial course in Jupyter notebook form, walking from plain-vanilla artificial neural networks up through convolutional networks, transfer learning, and recurrent models. Each idea gets a short plain-language explanation followed by runnable Keras code on TensorFlow, with a bit of Theano thrown in, so you can work through it in your own environment. For a developer or data scientist who wants to get hands-on rather than read theory, that mix of explanation and working examples is the main appeal. It sticks to familiar ground, MNIST and well-known architectures like VGG16 and ResNet50, which keeps the focus on ideas you will actually reuse. Just keep in mind it is teaching material, not a library to install; treat the notebooks as exercises rather than production code.