In the [previous post][fnn] we discussed how to make functional Neural Network (NN) with julia. In [another post][nn-package] we discussed how to package our NN into an independent julia package. As …
In a seris of previous posts we, described how to make a [fully functional Neural Network][fnn] in julia. Lets create a package so that we can import the neural network in julia as a regular package …
After a series of [previous posts][activation-func] we hav learned the key steps of making a Machine Learning: 1. [Gradient Descent][basicnn] 2. [Back Propagation][backprop] 3. [Adding Multiple …
As we saw in [previous post][multinode] addition of any number of layers and any number of nodes will only be able to model a linear functions. If we want our network to also be able to learn non …
In the previous two posts we have already seen how to construct a single neuron neural network with or without hidden layer. If we want to input multidimensional input and get multidimensional output …
## Setup Similar to [last post](/posts/2022/05/basic-neural-network-with-julia/), where we made a basic neural network with just one neuron and no hidden layer, we will build a two neuron and a …
In this post I will try to describe building a basic regression model with gradient descent. This forms a very basic prototype of neural network. This by no means is a full fledged neural network, …
## Neutrinos Neutrinos are little tiny particles that carry no charge and very little mass. The exact mass of neutrino is not known yet but, we know that they have very tiny mass. The confirmation of …
# गणितीय सुत्रहरू अमूर्त कला र कलाकारिता बुझ्नका लागि हामीले त्यस क्षेत्र सम्बन्धित केही ज्ञान हासिल गरेको हुनुपर्छ। नत्र अशिक्षित मानिसलाई कालो अक्षर भैँसी बराबर भनेझैँ, विशेष गरी अमूर्त कलालाई …