@hrdkcodes

Optimizers, parameters and hyper-parameters

Jun 2, 2021 · 1 min read · While starting off in machine learning, somethings might be confusing. Like difference between Model parameter and Model Hyperparameter. And all kinds of different optimizers. Let me demystify them for you... There are some internal variables to yo...

LSTMs : Better version of RNNs

May 31, 2021 · 2 min read · Vanishing 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,...

Demystifying Home Assistants

May 30, 2021 · 2 min read · How 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...

GANs - The Code Part

May 29, 2021 · 2 min read · Here 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...

MythBusting: CNN vs Traditional Neural Nets

May 28, 2021 · 2 min read · Enough 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...