LSTMs : Better version of RNNsVanishing Gradient is a big problem in RNNs and to solve this, we use a special kind of RNN called the LSTM layer. What is a LSTM? Here's what it is. What are LSTMs? LSTMs were made to solve the vanishing gradient problem. To understand LSTMs better,...2 min read·thedevblog.hashnode.devMay 31, 2021
Demystifying Home AssistantsHow do home assistants like siri or alexa understand what you speak? It's because they use a special type of neural network to function. The Recurrent Neural Network. Recurrent Neural network or RNNs for short are a special kind of neural networks be...2 min read·thedevblog.hashnode.devMay 30, 2021
GANs - The Code PartHere is the code you will ever need to create a Generative Adversarial Network for making an mnist clone. import tensorflow as tf !pip install -q git+https://github.com/tensorflow/docs import matplotlib.pyplot as plt import numpy as np import os from...2 min read·thedevblog.hashnode.devMay 29, 2021
MythBusting: CNN vs Traditional Neural NetsEnough boasting about CNNs, are they even worth the hype? Let's test out. We will compare a normal neural network and a CNN against the MNIST dataset. We will compare them on the basis of accuracy. Let's check out. Traditional Neural Net First we wil...2 min read·thedevblog.hashnode.devMay 28, 2021
Computer Vision and CNNsHave you ever tried a computer vision project? You must've used a CNN right? And if you used a regular neural net, you must know that it sucks at doing computer vision. But why is it so? And what is a CNN? I'll try to answer that here. Why CNN? In...2 min read·thedevblog.hashnode.dev1VMay 26, 2021