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Series
This series is a journey of me trying to learn DL.
Ann (Artificial Neural Networks ): One of the simplest neural network. CNN (Convolutional neural network): This neural network is used for image data. RNN (Recurrent neural network): This neural network is used for text data. GAN (Generative adversar...
Deep learning is a subfield of ai and ml which is inspired by the structure of a human brain. Deep Learning algorithms draw a similar conclusion as a human would by constantly analyzing data with a given local structure called a neural network. Why i...
Multi-layer Perceptron CNN RNN Auto Encoders GAN Applications of DL ? Self-driving car Game playing agents Virtual assistant Image colorization Adding audio to mute videos Image caption generator Text translation Pixel restoration Obje...
It is an algorithm that is used for supervised ml problems. Note: Perceptron can only classify linear or sort of linear data. Code Example: import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import requests f...
Perceptron trick code: from sklearn.datasets import make_classification import numpy as np X, y = make_classification(n_samples=100, n_features=2, n_informative=1,n_redundant=0, n_classes=2, n_clusters_per_class=1, random_s...
Problem with the perceptron trick? Cannot quantify your result line. Sometimes it never converges Loss Functions? A function of f(w1,w2,b) gives us a number that is known as an error and we have to minimize it. Perceptron Loss Function? $$L = \ar...
