This repo contains notebooks and related code for Udacity's Deep Learning with TensorFlow lesson. This lesson appears in our Intro to Machine Learning with TensorFlow Nanodegree Program.
- Part 1: Introduction to TensorFlow and using tensors
- Part 2: Building fully-connected neural networks with TensorFlow
- Part 3: How to train a fully-connected network with backpropagation on MNIST
- Part 4: Exercise - train a neural network on Fashion-MNIST
- Part 5: Using a trained network for making predictions and validating networks
- Part 6: How to save and load trained models
- Part 7: Load image data with ImageDataGenerator, and also data augmentation
- Part 8: Use transfer learning to train a state-of-the-art image classifier for dogs and cats