A great big story. Las muchachas de mariachi

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A great big story. The trashless town

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A great big story. The bard behind bars

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A great big story. Dreams of my children

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A great big story. Earthships

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A great big story. The original code talkers

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A great big story. Fair trade fleece : supporting the people behind the product

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A great big story. Take me there : protecting White Pocket

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A great big story. Doing it for kicks

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A great big story. Not your average hot dog

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Vital signs. [Episode 43], Pleasing the senses

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Deep Learning with TensorFlow. by Zaccone, Giancarlo

Table of Contents: “…Multilayer perceptronDNNs architectures; Convolutional Neural Networks; Restricted Boltzmann Machines; Autoencoders; Recurrent Neural Networks; Deep learning framework comparisons; Summary; Chapter 2: First Look at TensorFlow; General overview; What's new with TensorFlow 1.x?…”
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Advanced Machine Learning with Python. by Hearty, John

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Generative AI with Python and TensorFlow 2 : harness the power of generative models to create images, text, and music by Babcock, Joseph

Table of Contents: “…-- The promise of deep learning -- Building a better digit classifier -- Generating images -- Style transfer and image transformation -- Fake news and chatbots -- Sound composition -- The rules of the game -- Unique challenges of generative models -- Summary -- References -- Chapter 2: Setting Up a TensorFlow Lab -- Deep neural network development and TensorFlow -- TensorFlow 2.0 -- VSCode -- Docker: A lightweight virtualization solution -- Important Docker commands and syntax -- Connecting Docker containers with docker-compose -- Kubernetes: Robust management of multi-container applications -- Important Kubernetes commands -- Kustomize for configuration management -- Kubeflow: an end-to-end machine learning lab -- Running Kubeflow locally with MiniKF -- Installing Kubeflow in AWS -- Installing Kubeflow in GCP -- Installing Kubeflow on Azure -- Installing Kubeflow using Terraform -- A brief tour of Kubeflow's components -- Kubeflow notebook servers -- Kubeflow pipelines -- Using Kubeflow Katib to optimize model hyperparameters -- Summary -- References -- Chapter 3: Building Blocks of Deep Neural Networks -- Perceptrons -- a brain in a function -- From tissues to TLUs -- From TLUs to tuning perceptrons -- Multi-layer perceptrons and backpropagation -- Backpropagation in practice -- The shortfalls of backpropagation -- Varieties of networks: Convolution and recursive -- Networks for seeing: Convolutional architectures -- Early CNNs -- AlexNet and other CNN innovations -- AlexNet architecture.…”
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Machine learning methods for signal, image and speech processing by Jabbar, M. A.

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