Homepage
Open in app
Sign in
Get started
Tagged in
Mathematics
Computronium Blog
Discovering Natural Language Processing and Machine Learning || Every Monday
More information
Followers
25
More, on Medium
Mathematics
Jake Batsuuri
in
Computronium Blog
Mar 20, 2021
Language Generation with Recurrent Models
LSTM, Sampling, Smart Code Completion Tool
Read more…
54
Jake Batsuuri
in
Computronium Blog
Mar 14, 2021
Recurrent Models Overview
Recurrent Layers: SimpleRNN, LSTM, GRU
What’s SimpleRNN?
Read more…
47
Jake Batsuuri
in
Computronium Blog
Mar 7, 2021
Working Understanding of Convolutional Models
Creating, Preprocessing, Data Augmentation, Feature…
Read more…
54
Jake Batsuuri
in
Computronium Blog
Mar 4, 2021
Convolutional Models Overview
Convolutions, Kernels, Downsampling & Properties
Read more…
2
Jake Batsuuri
in
Computronium Blog
Oct 9, 2020
What Are Regular Languages?
Minimization, Finite State Transducers, Regular Relations
Read more…
57
Jake Batsuuri
in
Computronium Blog
Sep 8, 2020
Back-Propagation Algorithm I
Definitions, Concepts, Algorithms with Visuals
Read more…
161
Jake Batsuuri
in
Computronium Blog
Jun 8, 2020
General Architectural Design Considerations for Neural Networks
Universal Approximation Theorem…
Read more…
126
Jake Batsuuri
in
Computronium Blog
May 5, 2020
Hidden Units in Neural Networks
What are the hidden layers in deep neural networks? How are they…
Read more…
113
Jake Batsuuri
in
Computronium Blog
Apr 9, 2020
Output Units For Deep Learning
What’s Output Units? Who’s Output Units? Why’s Output Units?
Read more…
18
1 response
Jake Batsuuri
in
Computronium Blog
Mar 7, 2020
Deep Feedforward Networks
Deep Feedforward Networks, DFF’s, are often called Feedforward Neural Nets…
Read more…
71