This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learningclassifiers such as logistic regression, k-NN, decision trees, random forests,and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs,LSTMs, and auto encoders. Keras-based code samples are included to supplementthe theoretical discussion. In addition, this book contains appendices forKeras, TensorFlow 2, and Pandas.
- ISBN10 1683924665
- ISBN13 9781683924661
- Publish Date 30 January 2020
- Publish Status Transferred
- Publish Country US
- Imprint Mercury Learning & Information
- Format eBook
- Pages 300
- Language English