Deep Learning Projects Hub

Hello guys, welcome to this new project. In this project you will learn about Convolutional Neural Networks and the project is to Detect You whenever you are in-front of your laptop. One thing I want to conform before starting our project, this project is totally different from face detection. I will discuss about face detection in another session. And guys don't worry about code. 'Why worry, when we have Google's Tensorflow!'.You can find the code here , have a look. OK guys lets start our project.  Convolution Neural Network Convolution Neural Network(CNN) Why CNNs? Let us start the session from this question - Why CNNs? We have DNN(Deep Neural Networks) which performs well on images but why CNNs? To know the reason, let us assume we have an RGB image of shape (64,64,3). This has 12288 (64*64*3) number of pixels (It is also called as 12288 Dimensional feature vector).It is not too bad! But as technology increased we can find images of (1000,1000,3) that has nearly 3 M...

Hello guys, welcome to this new project named "Hand Signs using KNN". There are different types of Hand Signs, but here we use only hand signs of  Zero, One, Two, Three, Four & Five. But wait.! we are not using any Deep Learning or Neural Networks in this project. Instead we are using KNN a.k.a K-Nearest Neighbor which is one the Machine Learning Algorithms. We will talk about this later in this post. But how can we give directly images as input to the model, if we use a Machine Learning algorithm? Don't worry about it there are two files (train.h5, test.h5) that consists of features of the images (here features is nothing but pixel values of the image). You can find these files and also full code  here . Hand Signs Now lets talk about K Nearest Neighbor. K Nearest Neighbor(A Supervised Learning Algorithm) Introduction KNN algorithm is the laziest algorithm , we can also say KNN as instance based learning. It is called as the laziest algorithm because   it does nothin...

Hello guys, in this post we will learn about MNITS(Modified National Institute of Standards and Technology) Hand written digits recognition. Here we will be creating a Deep Neural Network model that recognizes the hand written digits. MNIST is nothing but a dataset that contains 60000 training images and 10000 testing images of hand written digits and these are actually gray scale images. You can find full code  here   The below are the sample images of MNIST dataset. Now lets dive into code!!! Setup First we will import some necessary modules like numpy and keras. Numpy is used to perform algebric or numerical operations and Keras is a deep learning API written in Python, running on top of the machine learning platform Tensorflow(Tensorflow is an end-to-end, open-source machine learning platform.) import numpy as np from tensorflow import keras from tensorflow.keras import layers Load the dataset Now lets load the MNIST dataset. (x_train, y_train), (x_test, y_test) = keras.da...

Hello guys, today we will learn what is deep learning and difference between Machine Learning and Deep Learning and also a small introduction about Neural Networks. What is Deep Learning? Deep learning is a type of  machine learning  (ML) and  artificial intelligence  (AI) that imitates the way humans gain certain types of knowledge. Deep learning is an important element of data science, which includes statistics and predictive modeling.   Difference between ML and DL In machine learning, first we should extract features from input and then fed to the model. But when comes to Deep learning there will be no need of feature extraction. There is one of the most important algorithms called Neural Networks which we will discuss in this post. Lets discuss some more concept about the difference between ML and DL. Before that lets know about different types of data. There are two types of data  Structured Data - Price of house, user ID etc.   Unstructured...