Publisher: Packt Publishing Author: Akshat Gupta
About the Book
Hands-on Deep Learning with TensorFlow 2.0 is a practical guide to building, training, and deploying deep learning models using TensorFlow 2.0 and Keras. The book is designed for practitioners who want to move beyond theory and build real neural network systems from scratch.
What It Covers
- Neural network fundamentals — perceptrons, activation functions, backpropagation
- CNNs — convolutional layers, pooling, image classification pipelines
- RNNs and LSTMs — sequence modelling, text classification, time series
- Transfer learning — fine-tuning pre-trained models for custom tasks
- Model deployment — TensorFlow Serving, SavedModel format, production considerations
- TensorFlow 2.0 specifics — eager execution,
tf.function, Keras functional API
Who It’s For
Developers and data scientists who are comfortable with Python and want a hands-on introduction to deep learning using one of the most widely adopted frameworks in industry.