irsina

12 ms·

91.
Awsome comprehensive resources for TensorFLow(github.com)
2 points by irsina 9y ago|0 comments
92.
Show HN: A comprehensive and organized collection of resources for TensorFlow(github.com)
4 points by irsina 9y ago|0 comments
93.
by irsina 9y ago
Hopefully not! Lol!
94.
by irsina 9y ago
Deep learning is going into that but when? That's obviously another question. Lol!
95.
by irsina 9y ago
Thank you so much for your feedback ... You are absolutely correct ... Usually, for publishing, people use any dataset, for example in Google they usually use their own huge dataset for the speaker-dependent scenario and not the NIST. But I
96.
Show HN: QR codes pattern recognition and message extraction using Matlab(github.com)
2 points by irsina 9y ago|0 comments
97.
Show HN: Speech feature extraction package developed in Python(github.com)
1 points by irsina 9y ago|0 comments
98.
Show HN: Speech feature extraction package developed in Python(github.com)
5 points by irsina 9y ago|0 comments
99.
by irsina 9y ago
I agree it is a great course but it is not free!
100.
by irsina 9y ago
I appreciate your compliment.
101.
by irsina 9y ago
Thank you ... It is my pleasure!
102.
by irsina 9y ago
Thank you so much for your feedback ... We will post very soon about the queue runners. However, since this open source project tries to provide simple codes, in the beginning, our emphasis is one feed_dict simple method although it is subo
103.
by irsina 9y ago
We leveraged 3D convolutional architecture for creating the speaker model in order to simultaneously capturing the speech-related and temporal information from the speakers' utterances.
104.
Show HN: Using 3D Convolutional Neural Networks for Speaker Verification(github.com)
59 points by irsina 9y ago|5 comments
105.
by irsina 9y ago
This open source project is aimed to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. Each tutorial has a source code and its documetation.
106.
TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow(github.com)
276 points by irsina 9y ago|14 comments