Discover convolutional neural networks (CNNs) – the image recognition technology behind self-driving cars, facial recognition, fingerprint matching and more. Learn all about this popular type of neural network while building two models for identifying handwritten numbers – one using TensorFlow 2.0 (a highly popular machine learning library), and another using Keras (a modular library specifically for neural networks).
You will learn:
- How image recognition works
- Real-world applications of image recognition
- What the MNIST dataset is, and how to access and use it
- Building, training, and testing CNN models with Tensorflow
- Building, training, and testing CNN models with Keras
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