## Lazy evaluation of .dot or other theano function

**Lazy evaluation of .dot or other theano function** - It isn't really possible to get a value from a symbolic variable because they don't
have a value; instead they stand in for a value that is provided

**function** - A variable in an expression graph to use as a compiled-function parameter
caller is aware that subsequent function evaluations might overwrite this memory.

**Advanced Theano** - While Switch Op evaluates both 'output' variables, IfElse Op is lazy and only
Mode(linker='vm')) f_lazyifelse = theano.function([a,b,x,y], z_lazy, mode=theano.
python ifelse_switch.py time spent evaluating both values 0.6700 sec time
spent . name> 26.8% 26.8% 0.001s 1.13e-03s 1 1 dot(x, w) input 0: dtype=
float32,

**More Examples** - At this point it would be wise to begin familiarizing yourself more A plot of the
logistic function, with x on the x-axis and s(x) on the y-axis.

**Debugging Theano: FAQ and Troubleshooting** - You can run your Theano function in a DebugMode. . T # source of error: dot
product of 5x10 with 20x10 h1 = T.dot(x, func_of_W1) # do more stuff h2 This
allows Theano to evaluate symbolic expressions on-the-fly (by

**Conditions** - Switch takes a tensor as condition and two variables as inputs. switch is an
elementwise Whereas switch evaluates both output variables, ifelse is lazy and
only python ifelse_switch.py time spent evaluating both values 0.6700 sec time

**Graph Structures** - Variables point to the Apply nodes representing the function application
producing . An Op in Theano defines a certain computation on some types of
inputs,

**Advanced Theano** - While Switch Op evaluates both 'output' variables, IfElse Op is lazy and only
evaluating both values 0.6700 sec time spent evaluating one value 0.3500 sec
faster then using a for loop in Python with a compiled Theano function; Can .
2.84e-04s 10001 1 2 <Dot> 2.4% 99.3% 0.691s 29.206s 7.68e-06s

**theano Documentation** - Theano is a Python library that allows you to define, optimize, and evaluate
mathematical .. The cvm linker allows lazy evaluation. It is the

## theano online

**Tutorial** - Several of the symbols you will need to use are in the tensor subpackage of
Theano. Let us import that subpackage under a handy name like T (the tutorials
will

**Demos** - Alex Graves's RNN handwriting generation demo: RNN based handwriting
generation. University of Montreal, Lisa Lab, Neural Machine Translation demo:.

**Theano at a Glance** - Theano is a Python library that lets you to define, optimize, and evaluate
mathematical A PDF version of the online documentation may be found here.

**Welcome** - Theano is a Python library that allows you to define, optimize, and evaluate . the
latest PDF documentation, rather than reading it online.

**Theano Tutorial** - This is an introductory Theano tutorial. of corruption (score); Estimated
government effectiveness (score); Internet users (per 100 people).

**Theano: A CPU and GPU Math Compiler in Python** - Abstract— Theano is a compiler for mathematical expressions in. Python that ..
implementations used in these benchmarks are available online. [dlb].

**Modern Deep Learning in Python** - Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, Probably
the best course on deep learning on the internet, and I've

**Practical Deep Learning in Theano and TensorFlow** - Practical Deep Learning in Theano and TensorFlow: Build & Understand Neural
He has worked in online advertising and digital media as both a data scientist

**TensorFlow and Theano backends** - Learn how to decide which back-end tool to use with Keras.

**Theano MOOCs and Free Online Courses** - Find Free Online Theano Courses and MOOC Courses that are related to
Theano.

## theano inference

**Tutorial** - import theano.tensor as T. If that succeeded How Shape Information is
Handled by Theano · Shape Inference Problem · Specifying Exact Shape · Future
Plans.

**How Shape Information is Handled by Theano** - Shape Inference Problem¶. Theano propagates information about shape in the
graph. Sometimes this can lead to errors. Consider this example: >>> import

**Convolution arithmetic tutorial** - Theano has its own terminology, which differs slightly from the convolution
arithmetic . Incorporating non unitary strides requires another inference leap.

**Basic Tensor Functionality** - theano.tensor. matrix (name=None, dtype=config. This function can infer the
length of a symbolic newshape in some cases, but if it cannot

**Optimizations** - Theano applies many kinds of graph optimizations, with different objectives:
Theano often knows how to infer the shape of an output from the shape of its

**Is there any way to do simple shape inference in theano? · Issue ** - Platform theano edition: 0.10.0dev2 Problem tensorflow has a nice shape
inference feature in all ops, this leads to easy high-level API writing

**Theano, TensorFlow and the Future of PyMC** - PyMC3 is an open-source library for Bayesian statistical modeling and inference
in Python, implementing gradient-based Markov chain Monte

**Theano - Deep Learning AMI** - Theano Tutorial. To activate the framework, follow these instructions on your
Deep Learning AMI with Conda. For Theano + Keras in Python 3 with CUDA 9
with

**Inference** - vars : list of Theano variables, default all continuous vars .. OPVI¶. Variational
inference is a great approach for doing really complex, often intractable Bayesian

**Bayesian Regression in PYMC3 using MCMC & Variational Inference** - These algorithms are referred to as Variational Inference (VI) sns import theano
import warnings from numpy.random import binomial, randn,