Zero to Deep Learning with Keras and Tensorflow
Release Finelybook 出版日期：2020
Zero to Deep Learning is carefully designed to teach you step-by:-step how to build,train,evaluate,improve and deploy deep learning models. Each chapter covers a topic and we provide full code examples as executable Jupyter notebooks.
Within the first few minutes,we’ll know enough deep learning to start seeing the benefits of using it in our applications.
Learn the best practices,such as:handling overfitting,code organization,and how to serve our model to our apps. We’ll walk through practical,common examples of how to implement complete applications powered by:deep learning.
Every single chapter and line of code includes an interactive Jupyter notebook. You’ll get access to a Jupyter notebook for all code samples.
You’ll learn core deep learning concepts – from the multiperceptron through deep neural networks including convolutional and recurrent neural networks.
Deep Learning Internals
Convolutional Neural Networks
Time Series and Recurrent Neural Networks
Natural Language Processing and Text Data
Training with GPUs
Pre-trained Models for Images
Pre-trained Models for Text
Serving Deep Learning Models
Conclusion and Next Steps