tensorflow reinforcement learning

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

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

Deep Learning Library packages Theano, Lasagne, and TensorFlow support GPU installation in Ubuntu With the popularity of deep learning, more and more people begin to use deep learning to train their own models. GPU training is much faster than the CPU, allowing models that require one week of training to be completed w

. summaries.py includes an auxiliary function to generate the day to record, summaries_test.py is one of its tests, using the example below: Import TensorFlow as TFSlim = Tf.contrib.slim Slim.summaries.add_histogram_summaries (Slim.variables.get_model_variables ())Slim.summaries.add_scalar_summary (Total_loss, ' total loss ')Slim.summaries.add_scalar_summary (learning_rate, ' learning rate ')Slim.summaries.

Learning notes TF062: TensorFlow linear algebra compiling framework XLA, tf062tensorflow XLA (Accelerated Linear Algebra), a specialized Linear Algebra compiler (demain-specific compiler), optimizes TensorFlow computing. Real-time (just-in-time, JIT) compilation or advance (ahead-of-time, AOT) compilation to implement XLA, which facilitates hardware acceleration.

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

produces tensor C as the output.When a graph is loaded into a session, you can call Session.run (OP) to execute the OP, or call Op.run () to execute (Op.run () is the abbreviation for the Tf.get_default_session (). Run ().TensorTensor represents the output of the operation. However, tensor is only a symbolic handle, and it does not save the value of the operation output. The value of the tensor can be obtained by calling Session.run (tensor) or tensor.eval ().On the calculation process of graph

Deep learning has a profound effect on computer science. It makes it possible for cutting-edge technology to research and develop products that are used by tens of millions of of people everyday.The study announced the launch of the second-generation machine learning System (TENSORFLOW), which has been strengthened for the previous distbelief, and more importantl

TensorFlow v0.11.0 RC1 Released, TensorFlow is Google's second-generation machine learning system, according to Google, in some benchmarks, tensorflow performance than the first generation of distbelief faster than twice times. Extended support for TensorFlow depth

First, the paper reference The methods used here refer mainly to the paper "A Neural algorithm of artistic Style". In simple terms, the low-level layers of the neural network extract the lower-level information, such as straight lines, corners, etc., the advanced layer extracts more complex content, such as semantic information (the picture is a cat or a dog), the combination of the two can transfer the style of a picture to another picture. Specific content can refer to the paper. Second, code