The Deep Learning Engineer's Handbook: From Fundamentals To Advanced Techniques With Scikit-learn, Keras, And Tensorflow by Aarav Joshi ISBN 9798231335404, 8231335404 instant download

The Deep Learning Engineer's Handbook: From Fundamentals To Advanced Techniques With Scikit-learn, Keras, And Tensorflow by Aarav Joshi ISBN 9798231335404, 8231335404 instant download

This practical handbook features extensive code examples using popular frameworks like TensorFlow, Keras, and Scikit-Learn, enabling readers to build working models from scratch. The content progresses logically through machine learning fundamentals, convolutional neural networks, recurrent architectures, transformers, and generative models, culminating in production deployment techniques.

What sets this handbook apart is its balance between theoretical understanding and practical implementation, with hands-on exercises that reinforce learning. The book addresses both model development and operational concerns like monitoring, scaling, and maintaining deep learning systems in production environments.

Perfect for engineers, data scientists, and researchers seeking to implement cutting-edge deep learning solutions, this handbook serves as both a learning resource and reference guide for building intelligent systems.