ConvNetJS - Revision history

BPeat at 02:59, 6 December 2023

2023-12-06T02:59:59Z

BPeat at 18:34, 9 May 2023

2023-05-09T18:34:53Z

BPeat: Text replacement - "http:" to "https:"

2023-03-28T10:52:09Z

Text replacement - "http:" to "https:"

BPeat at 10:31, 21 August 2020

2020-08-21T10:31:50Z

BPeat at 01:26, 21 August 2020

2020-08-21T01:26:40Z

BPeat at 01:18, 21 August 2020

2020-08-21T01:18:39Z

BPeat at 00:40, 23 February 2019

2019-02-23T00:40:44Z

BPeat at 00:32, 23 February 2019

2019-02-23T00:32:38Z

BPeat: Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

2019-02-23T00:27:18Z

Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

New page

{{#seo:
|title=PRIMO.ai
|titlemode=append
|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
}}
[http://www.youtube.com/results?search_query=caffe2+caffe+artificial+intelligence+deep+learning Youtube search...]
[http://www.google.com/search?q=caffe2+caffe+deep+machine+learning+ML+artificial+intelligence ...Google search]

* [[Libraries & Frameworks]]

<youtube>rvMVqPsXL10</youtube>

@@ Line 13: / Line 13: @@
 ** [https://github.com/karpathy/convnetjs ConvNetJS | GitHub]
-a [[Javascript]] library for training Deep Learning models ([[Neural Network#Deep Neural Network (DNN)|Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
+a [[JavaScript]] library for training Deep Learning models ([[Neural Network#Deep Neural Network (DNN)|Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
 <youtube>out-60vx558</youtube>

@@ Line 13: / Line 13: @@
 ** [https://github.com/karpathy/convnetjs ConvNetJS | GitHub]
-a [[Javascript]] library for training Deep Learning models ([[Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
+a [[Javascript]] library for training Deep Learning models ([[Neural Network#Deep Neural Network (DNN)|Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
 <youtube>out-60vx558</youtube>

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=ConvNetJS+artificial+intelligence+deep+learning Youtube search...]
+[https://www.youtube.com/results?search_query=ConvNetJS+artificial+intelligence+deep+learning Youtube search...]
-[http://www.google.com/search?q=ConvNetJS+deep+machine+learning+ML+artificial+intelligence ...Google search]
+[https://www.google.com/search?q=ConvNetJS+deep+machine+learning+ML+artificial+intelligence ...Google search]
 * [[Libraries & Frameworks]]
-* [http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html ConvNetJS Demo] | [[Creatives#Andrej Karpathy |Andrej Karpathy]]
+* [https://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html ConvNetJS Demo] | [[Creatives#Andrej Karpathy |Andrej Karpathy]]
-** [http://cs.stanford.edu/people/karpathy/convnetjs/ ConvNetJS Project page with demonstrations]
+** [https://cs.stanford.edu/people/karpathy/convnetjs/ ConvNetJS Project page with demonstrations]
-** [http://github.com/karpathy/convnetjs ConvNetJS | GitHub]
+** [https://github.com/karpathy/convnetjs ConvNetJS | GitHub]
 a [[Javascript]] library for training Deep Learning models ([[Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.

@@ Line 13: / Line 13: @@
 ** [http://github.com/karpathy/convnetjs ConvNetJS | GitHub]
-a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
+a [[Javascript]] library for training Deep Learning models ([[Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
 <youtube>out-60vx558</youtube>

@@ Line 9: / Line 9: @@
 * [[Libraries & Frameworks]]
-* [http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html ConvNetJS Demo]
+* [http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html ConvNetJS Demo] | [[Creatives#Andrej Karpathy |Andrej Karpathy]]
 ** [http://cs.stanford.edu/people/karpathy/convnetjs/ ConvNetJS Project page with demonstrations]
 ** [http://github.com/karpathy/convnetjs ConvNetJS | GitHub]