Keras 3

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

Learn to apply Tensorflow to YOUR problems. Follow a complete pipeline including pre-processing and training for ML.

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

In this ebook, you'll embark on a journey that delves deeper into the intricacies of deep neural networks, equipping you with the knowledge and tools to tackle complex real-world problems. Whether you're interested in computer vision, natural language processing, or reinforcement learning, this guide will empower you to build and optimize advanced deep learning models.

This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamentalconcepts of machine learning. The sixth chapter is devoted to machine learningclassifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2.

Learn to apply Tensorflow to YOUR problems. Follow a complete pipeline including pre-processing and training for ML.

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R