Deep Learning Cookbook

✍ Douwe Osinga 📂 Library 📅 2018 🏛 O'Reilly Media, Inc. 🌐 English

Python Deep Learning Cookbook.

✍ Bakker, Indra den 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book Practical recipes on training different neural network models and tuning them for optimal performance Use Python frameworks like TensorFlow, Caffe, Keras, Theano

Python Deep Learning Cookbook

📁 Python Deep Learning Cookbook

✍ Indra den Bakker 📂 Library 📅 2017 🏛 Packt 🌐 English

TensorFlow 1.x Deep Learning Cookbook

📁 TensorFlow 1.x Deep Learning Cookbook

✍ Antonio Gulli 📂 Library 📅 2017 🏛 Packt 🌐 English

In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative Advers

TensorFlow 1.x Deep Learning Cookbook

📁 TensorFlow 1.x Deep Learning Cookbook

✍ Antonio Gulli 📂 Library 📅 2017 🏛 Packt 🌐 English

In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative Advers

Deep Learning for Time Series Cookbook

📁 Deep Learning for Time Series Cookbook

✍ Vitor Cerqueira and Luís Roque 📂 Library 📅 2024 🏛 Packt Publishing Pvt Ltd 🌐 English

Use PyTorch and Python recipes for forecasting, classification, and anomaly detection Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes Key Features Learn the fundamentals