machine learning with tensorflow book

Topic: Machine Learning-related book recommendation 1.Programming collective intelligence,In recent years, getting started with a good book is the most important part to cultivate interest. On the top of the page, it is easy to be scared: P2. Peter norvig'sAI, modern approach 2nd(Classic in a non-controversia

About TensorFlow a very good article, reprinted from the "TensorFlow deep learning, an article is enough" click to open the link Google is not only the leader in big data and cloud computing, but also has a good practice and accumulation in machine learning and deep

TensorFlow and serving models of the product process. Serving Models in Production with TensorFlow serving: a systematic explanation of how to apply the TensorFlow serving model in a production environment. ML Toolkit: Introduces the use of TensorFlow machine

test) 2017-10-15 10:59:00.831156:step 0, duration = 8.954 2017-10-15 11:00:30.933252:step, duration = 9.048 2017-10 -15 11:02:01.370461:step, duration = 8.999 2017-10-15 11:03:31.873238:step, duration = 8.953 2017-10-15 11 : 05:03.045593:step, Duration = 9.360 2017-10-15 11:06:33.642941:step, duration = 9.037 2017-10-15 11:08:03 .993324:step, Duration = 8.998 2017-10-15 11:09:34.304207:step, duration = 9.170 2017-10-15 11:11:05.94341 4:step, duration = 9.068 2017-10-15 11:12:38.635693:step, d

model and will build a deep convolution neural network for mnist through these steps. Downloading data sets The official website of the Mnist dataset is the Yann LeCun ' s website (http://yann.lecun.com/exdb/mnist/ ）。 You can download the dataset directly. It is recommended that Python crawler code be used to automatically download and install this dataset: https://tensorflow.googlesource.com/tensorflow/+/master/

TensorFlowTensorFlow is Google's second generation of AI learning systems based on Distbelief, whose name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other. TensorFlow is a system that transmits complex da

Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow AlphaGo: each experiment has 1000 nodes and each node has 4 GPUs and 4000 GPUs. Siri: 2 nodes and 8 GPUs for each experiment. AI research relies on massive data computing, instead of performance computing resources. The larger cluster running model shortens the weekly training time to the day-level hour level. Kubernetes, the most widely used cont

learning and unsupervised learning. There are only few tags (rewards) and there is a delay. Model learning environment behavior. Games, playing games, and games have multiple steps to make continuous decisions. Q-learning, Sarsa, Policy Gradient, Actor Critic. Including algorithm update and decision-making. Deep Q Net

training and distributed training can be very simple to switch, and in the use of different devices: CPU, GPU, TPU, no need to modify too much code. The estimator framework is clear and facilitates communication between developers. Beginners can also directly use some of the estimator models that have been built: DNN models, xgboost models, linear models, and so on. Three, TensorFlow serving and performance optimization 3.1

BatchNp. random. shuffle (test_indices)Test_indices = test_indices [0: test_size]Print (I, np. mean (np. argmax (teY [test_indices], axis = 1) =Sess. run (predict_op, feed_dict = {X: teX [test_indices],P_keep_conv: 1.0,P_keep_hidden: 1.0 }))) MNIST Recurrent Neural Network. Https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/recurrent_network.py. RNN has been successfully applied in the natural language processi

progress of the algorithm, but also because the deep learning technology has achieved very good application effect in all walks of life. deep Learning, as a combination of theory and practice, has emerged in the new algorithm theory, and various deep learning frameworks have been appearing in people's Field of vision. Like Torch,mxnet,theano,caffe and so on. Goo

= 'number of steps to run trainer .')Parser. add_argument ('-- learning_rate', type = float, default = 0.001,Help = 'initial learning rate ')Parser. add_argument ('-- dropout', type = float, default = 0.9,Help = 'keep probability for training dropout .')Parser. add_argument ('-- Data_dir ',Type = str,Default = OS. path. join (OS. getenv ('test _ tmpdir', '/tmp '),'Tensorflow/mnist/input_data '),Help = 'Dir

TensorFlow TensorFlow (Tengsanfo) is Google based on the development of the second generation of artificial intelligence learning system, its name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from on

timeline for the last loop and export to json to view with # chrome: // tracing /. # create a timeline file in the last loop and use chrome: // tracing/to open the analysis if I = train_loops-1: sess. run (train_step, feed_dict = {x: batch_xs, y _: batch_ys}, options = tf. runOptions (trace_level = tf. runOptions. FULL_TRACE), run_metadata = run_metadata) trace = timeline. timeline (step_stats = run_metadata.step_stats) with open ('timeline. ctf. json ', 'w') as trace_file: trace_file.write (tr

Install the deep learning framework TensorFlow in Ubuntu I recently learned about TensorFlow, a new open-source deep learning framework for Google. It was found that python 2.7.x is needed when installing it; I have been using CentOS for Linux before. While CentOS is not updated, the built-in Python is usually less tha

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbers, tf024softmax TensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 p

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbersTensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 pixels handwritten number, only grayscale value information,

Reproduced in the Daily Digest of deep learning, convlstm principle and its tensorflow realizationThis document references convolutional LSTM network:a machine learning approach forPrecipitation nowcasting Today introduced a very famous network structure--convlstm, it not only has the LSTM time series modelling ability

tags (space delimited): Wang Cao TensorFlow notes Note-taker: Wang GrassNote Finishing Time February 24, 2017TensorFlow official English document address: Https://www.tensorflow.org/get_started/mnist/beginnersOfficial documents When this article was compiled last updated: February 15, 2017 1. Case Background This article is followed by the second tutorial of the official TensorFlow document – Identifying ha

This book is published by only cloud technology Caicloud, the main content is familiar with the basic structure of TensorFlow framework and practical application in the field of depth learning.For specific code see:1. Official:Caicloud/tensorflow-tutorial:example tensorflow codes and Caicloud