deep learning with tensorflow course

ObjectiveFor deep learning, novice I recommend to see UFLDL first, do not do assignment words, one or two nights can be read. After all, convolution, pooling what is not a particularly mysterious thing. The course is concise, sharply, and points out the most basic and important points.cs231n This is a complete course,

As a deep learning platform developed by Baidu, paddjavasaddle is easy to learn, easy to use, and flexible and efficient, greatly reducing developers' R D thresholds. To help developers build a fast and Advanced path to deep learning, Baidu opened the "Deep

the local optimal point on the left, but the saddle point on the right. A saddle point can be understood as a maximum point in one direction and a minimum point on the other, which can be imagined as a saddle on horseback.A point with a gradient of 0 in a high-dimensional space may be a convex or concave function in each direction. For example, in 2w space you want the local optimal, all the 2w directions need to be such, the probability is too small. We are more likely to encounter some direct

.x/5.x/2017.x Upgrade Difference Summary", "Unity Special Folder List", "Game development of C # language knowledge points Basic requirements" and other practical and strong content.Benefits: Anyone who buys the "Unity3d game development Engineer Professional Learning Series" and "Unity Client Framework Design Special" package during the event can get a copy of this unity's latest book!Time: June 25-July 2 Please add qq:807968448 after purchase note:

is to balance the step, that is, to move a pair of words to the axisymmetric (such as grandmother and grandfather is not about the axis symmetry, so grandmother and the babysister distance after the step closer), as shown in(5) One point is that, for gender, there are very few words with a clear gender of one by one, and a two classifier is used to determine whether a word has a definite gender, and then all other words can be dealt with in the above steps with the explicit gender of these word

/varianceYou can determine whether the model has a high bias/variance problem by train set error and dev set error.Suppose, for example, that Bayes error is about 0%, which means that humans can be almost completely accurately identified, and the train and dev sets come from the same distribution. Train Set Error Dev Set Error Results 1% 11% High Variance 15% 16 High bias 15% 30% High Var

Android self-learning course-ListView is simplified to deep, androidlistview Some time ago I learned RecyclerView and found that I felt more obvious about ListView. So I decided to sort out the previously checked ListView. After all, before the popularity of 5.0, ListView was useful. As always, we start from a simple one. -- Standing on the shoulders of giants Tr

matrix when you calculate Np.dot (A, A.T). The shape of A is (5, 1), and a. The shape of T is (1, 5).A.shape = (5,) This is an array of rank 1, not a row vector or a column vector. Many students appear to be difficult to debug bugs are from the rank of 1 arrays.In addition, if you do a lot of things in the code, you may not remember or are unsure of how a is, use assert (A.shape = = (5,1)) to check the dimensions of your matrix.If you get (5,) you can reshape it into (5, 1) or (1, 5), reshape i

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

solutions on personal computers are easiest to master, while large-scale applications require larger scale and hosted-dependent solutions. Google's cloud machine learning goal is to support a full-area solution and provide a seamless transition from on-premises to cloud environments. theCloud Machine Learningoffering allows users to run custom distributed learning algorithms based onTensorFlow. In addition

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/+

Keras. Why Keras is considered to be the future of deep learning. Install Keras Step by step on Ubuntu. Keras tensorflow Tutorial: Keras basic knowledge. Understanding the Keras sequence model4.1 Practical examples Explain linear regression problems using Keras to save and reply to a pre-trained model Keras API6.1 Using the Keras API to develop a VGG convolution

implementationStream_executor # stream processingTensorboard # App, Web Support, and script supportTensorflow. bzlTf_exported_symbols.ldsTf_version_script.ldsTools # miscellaneous toolsUser_opsWorkspace. bzl Contirb directory. Save common functions and encapsulate advanced APIs. Not officially supported. After the advanced API is complete, it is officially migrated to or removed from the core TensorFlow directory. Some packages have a more complete i

distributed computing of heterogeneous devices, which can automate models on a variety of platforms, from mobile phones to individual cpu/gpu to hundreds of GPU cards distributed systems. From the current documentation, TensorFlow supports the CNN, RNN, and lstm algorithms, which are the most popular deep neural network models currently in Image,speech and NLP. Open source meaning this time Google Open sou

Learning notes TF049: TensorFlow model storage and loading, queue threads, loading data, custom operations, tf049tensorflow Generate the checkpoint file (chekpoint file). The extension is. ckpt, And the tf. train. Saver object is generated by calling Saver. save. Contains weights and other program-Defined variables, excluding the graph structure. Another program needs to re-create the graphic structure to t

Copyright NOTICE: This article for Bo Master hjimce original article, the original address is http://blog.csdn.net/hjimce/article/details/51899683. I. Course of study Personal feeling for any deep learning library, such as Mxnet, TensorFlow, Theano, Caffe, and so on, basically I use the same

language processing model. Last week, Google open-source its TensorFlow natural language analytic database syntaxnet based on AI system. Over the past two years, Google researchers have used this analysis to publish a series of neural network analysis models. Since the release of Syntaxnet, the author has been concerned about it, of course, also always expect this software to open source. However, this art