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Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python

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Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks

Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing

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Hands-On Transfer learning with Python: Implement advanced deep and neural network models using TensorFlow Keras

Deep Learning with Python: A Hands-on Introduction

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Recurrent Neural Networks: From Simple to Gated Architectures

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Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects

Neural Networks with TensorFlow and Keras: Training, Generative Models, Reinforcement Learning

Practical TensorFlow.js: Deep Learning Web App Development

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Hands-On graph Neural Networks Using Python: Practical techniques and architectures for building powerful deep learning apps with PyTorch

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