Comments (4)
Hi,
Glad to hear there is a volunteer for contribution.
The purpose for deepy is somehow different from other frameworks such as keras and theanets, which aims to provide DNNs as blackboxes with simple interfaces, like sklearn.
The purpose of deepy is mainly for research. Build models in a short time and test it out, without worrying about exploding gradients. Anyway, a clean high-level interface is still crucial.
Anyway, I plan to create a tutorial on how to build customized models and conduct experiments with deepy.
Other than that, the current plan for development is to build following models:
- Language models
- Neural machine translation
- Models related with Neural turing machine
- For example, DRAW
- Models with reinforcement learning
- Deep Q learning is already done
- Word 2 Vec if I have time
So, actually there are many works to do.
from deepy.
Okay, I will create a brief tutorial these days.
from deepy.
Hi,
Happy to see the to-do list.
I am new to Machine learning so if you can assign task basis job i will be able to complete in given time.
With Regards.
Ajit
from deepy.
👍
from deepy.
Related Issues (20)
- Missing n_steps in LSTM layer HOT 2
- TypeError: 'NoneType' object is not callable HOT 2
- DQNAgent convergance ? HOT 1
- RAE incorrect encode function HOT 1
- Using `theano` on Windows platform does not increase speed HOT 4
- RECURRENT NEURAL NETWORK REGULARIZATION
- [Low priority] Building off of deep q learning example HOT 2
- Neural Networks with Few Multiplications
- cannot import name NeuralLayer HOT 1
- error in tutorial
- Argument error in attention layer initialization. HOT 1
- Any interest in getting Deepy to use TensorFlow as a backend?
- High version of Theano support
- slow compilation in draw
- RNN state HOT 6
- Pip version error HOT 1
- DRAW / attention zoomer HOT 2
- ImportError: cannot import name NeuralLayer HOT 2
- RuntimeError: maximum recursion depth exceeded HOT 5
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from deepy.