Deep Learning with Keras - Implement neural networks with Keras on Theano and TensorFlow PDF. Découvrez de nouveaux livres avec histoiresdenlire.be. Télécharger un livre Deep Learning with Keras - Implement neural networks with Keras on Theano and TensorFlow en format PDF est plus facile que jamais.
This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to recurrent networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as autoencoders and the very popular Generative Adversarial Networks (GANs). You will also explore non-traditional uses of neural networks as style transfer. Finally, you will look at reinforcement learning and its application to Al game playing, another popular direction of research and application of neural networks. Things you will learn : optimize step-by-step functions on a large neural network using the backpropagation algorithm ; fine-tune a neural network to improve the quality of results ; use deep learning for image and audio processing ; use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases ; identify problems for which Recurrent Neural Network (RNN) solutions are suitable ; explore the process required to implement autoencoders ; evolve a deep neural network using reinforcement learning.
|DATE DE PUBLICATION||2017-Apr-28|
|TAILLE DU FICHIER||7,52 MB|
|NOM DE FICHIER||Deep Learning with Keras - Implement neural networks with Keras on Theano and TensorFlow.pdf|
Keras has the low-level flexibility to implement arbitrary research ideas while offering optional high-level convenience features to speed up experimentation cycles. An accessible superpower. Because of its ease-of-use and focus on user experience, Keras is the deep learning solution of choice for many university courses.
Introduction to machine learning and deep learning. Introduction to neural networks. Introduction to python. Building our first neural network in keras. < — You are here; A comprehensive guide to CNN. Image classification with CNN. Before starting, I would like to give an overview of how to structure any deep learning project. Preprocess and load data-As we have already discussed data is the ...