Deep Learning Projects Hub

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.datasets.mn

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 Data - Images, audio, text, etc. Now,