How to plot models using keras?
This recipe helps you plot models using keras
Recipe Objective
Plot models using keras.
Plotting of models tells us the how our code proceeds, one can easily demonstrates our keras model.
There is a built-in plot_model facility within Keras. It allows us to create a visualization of your model.
Step 1- Importing Libraries
#importing Libraries
import pandas as pd
import numpy as np
from keras.datasets import mnist
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from tensorflow.keras import layers
from keras.utils import plot_model
Step 2- Loading dataset
#Loading Dataset
(X_train, y_train), (X_test, y_test) = mnist.load_data()
Step 3- Defining the model.
We will define the model and then define the layers, kernel initializer, and its input nodes shape.
#Model
model = Sequential()
model.add(layers.Dense(64, kernel_initializer='uniform', input_shape=(10,)))
Step 4- Defining the activation function.
Define the activation function and add layers to the model
#Adding Layers
model.add(layers.Activation('relu'))
model.add(Dense(512))
model.add(Dropout(0.2))
model.add(Dense(256, activation='relu'))
model.add(Dropout(0.1))
Step 5- Setting up the image.
Adding the parameters for the image to setup.
# Model configuration
img_width, img_height = 28, 28
batch_size = 250
no_epochs = 25
no_classes = 10
validation_split = 0.2
verbosity = 1
Step 6- Adding optimizer.
Add the optimizer according to the need.
model.compile( optimizer='adamax')
Step 7- Plot the model
#plot model
plot_model(model, to_file='model.png')
What Users are saying..
Anand Kumpatla
Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More
Relevant Projects
Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students
You might also like
Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture
Relevant Projects
Create Your First Chatbot with RASA NLU Model and Python
Learn the basic aspects of chatbot development and open source conversational AI RASA to create a simple AI powered chatbot on your own.
Build a Graph Based Recommendation System in Python -Part 1
Python Recommender Systems Project - Learn to build a graph based recommendation system in eCommerce to recommend products.
Azure Text Analytics for Medical Search Engine Deployment
Microsoft Azure Project - Use Azure text analytics cognitive service to deploy a machine learning model into Azure Databricks
Build a CNN Model with PyTorch for Image Classification
In this deep learning project, you will learn how to build an Image Classification Model using PyTorch CNN
Time Series Python Project using Greykite and Neural Prophet
In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.
BigMart Sales Prediction ML Project in Python
The goal of the BigMart Sales Prediction ML project is to build and evaluate different predictive models and determine the sales of each product at a store.
Credit Card Default Prediction using Machine learning techniques
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Time Series Analysis with Facebook Prophet Python and Cesium
Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python
MLOps using Azure Devops to Deploy a Classification Model
In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
Build OCR from Scratch Python using YOLO and Tesseract
In this deep learning project, you will learn how to build your custom OCR (optical character recognition) from scratch by using Google Tesseract and YOLO to read the text from any images.