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The current state of `JuliaDiffEq` is now completely overtaken by various splinters of `DifferentialEquations.jl` package. Splitting up the huge package like that is a move in a good direction but we…
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```
x = tf.Variable(1.0)
y = 2*x
z = 3*y
dzdx, = tf.gradients(z, x)
sess.run(tf.initialize_all_variables())
print(sess.run([z, dzdx], feed_dict={y: 10.0}))
# Result: z = 30.0, dzdx = 6.0
```
To me …
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IIRC, [Tensorflow](http://tensorflow.org/) is supposed to be a general ML library, not just for deep learning.
Any opportunity here for scikitlearn integration?
It has cool stuff like symbolic grap…
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Dynd is a next generation array library for python, with lots of cool features like JIT compilation, heterogenous data, user defined data types, missing data support, type checking etc https://speaker…
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I'm attempting to recreate this [model](https://github.com/bplank/bilstm-aux) in TensorFlow but I can not seem to get anywhere close to the speed of the original code. On average the TensorFlow implem…
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hey, one does not need to implement full forward/backward for every new layer in torch, layers can be composed just like in Theano.
For example, LSTM:
https://github.com/karpathy/char-rnn/blob/master…
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Hi,
Thanks for the package. I am using version
```
Package: Deriv
Type: Package
Title: Symbolic Differentiation
Version: 3.5.6
Date: 2015-09-23
Authors@R: c(person(given="Andrew", family="Clausen",…
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Obviously, I don't want to remove this if this speeds up some people's models. But right now, every time I merge into my production folder, I have to go into `diff_vectorized` and delete the calls to …
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Hello Richard,
Shana Tova.
I tried to calculate entropy of formation of a compound as function of composition.
The calculation of entropy is done by numerical differentiation of Gibbs energy of format…
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bc.. Fredrik:
There is an underlying, more important issue here that is the function
model in the
new core, where f(x,y,z) means Apply(f,x,y,z). This is something I'd like
to see
changed, partially b…