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Get familiar with Deep-Learning Frameworks through these Books
- The science behind deep learning
- Building and training your own neural networks
- Privacy concepts, including federated learning
- Tips for continuing your pursuit of deep learning
- Deep learning from first principles
- Setting up your own deep-learning environment
- Image-classification models
- Deep learning for text and sequences
- Neural style transfer, text generation, and image generation
- Build machine learning models particularly focused on the MNIST digits
- Work with Docker and Keras to build an image classifier
- Understand natural language models to process text and images
- Prepare your dataset for machine learning
- Create classical, convolutional, and deep neural networks
- Create a RESTful image classification serve