Explore Courses
Liverpool Business SchoolLiverpool Business SchoolMBA by Liverpool Business School
  • 18 Months
Bestseller
Golden Gate UniversityGolden Gate UniversityMBA (Master of Business Administration)
  • 15 Months
Popular
O.P.Jindal Global UniversityO.P.Jindal Global UniversityMaster of Business Administration (MBA)
  • 12 Months
New
Birla Institute of Management Technology Birla Institute of Management Technology Post Graduate Diploma in Management (BIMTECH)
  • 24 Months
Liverpool John Moores UniversityLiverpool John Moores UniversityMS in Data Science
  • 18 Months
Popular
IIIT BangaloreIIIT BangalorePost Graduate Programme in Data Science & AI (Executive)
  • 12 Months
Bestseller
Golden Gate UniversityGolden Gate UniversityDBA in Emerging Technologies with concentration in Generative AI
  • 3 Years
upGradupGradData Science Bootcamp with AI
  • 6 Months
New
University of MarylandIIIT BangalorePost Graduate Certificate in Data Science & AI (Executive)
  • 8-8.5 Months
upGradupGradData Science Bootcamp with AI
  • 6 months
Popular
upGrad KnowledgeHutupGrad KnowledgeHutData Engineer Bootcamp
  • Self-Paced
upGradupGradCertificate Course in Business Analytics & Consulting in association with PwC India
  • 06 Months
OP Jindal Global UniversityOP Jindal Global UniversityMaster of Design in User Experience Design
  • 12 Months
Popular
WoolfWoolfMaster of Science in Computer Science
  • 18 Months
New
Jindal Global UniversityJindal Global UniversityMaster of Design in User Experience
  • 12 Months
New
Rushford, GenevaRushford Business SchoolDBA Doctorate in Technology (Computer Science)
  • 36 Months
IIIT BangaloreIIIT BangaloreCloud Computing and DevOps Program (Executive)
  • 8 Months
New
upGrad KnowledgeHutupGrad KnowledgeHutAWS Solutions Architect Certification
  • 32 Hours
upGradupGradFull Stack Software Development Bootcamp
  • 6 Months
Popular
upGradupGradUI/UX Bootcamp
  • 3 Months
upGradupGradCloud Computing Bootcamp
  • 7.5 Months
Golden Gate University Golden Gate University Doctor of Business Administration in Digital Leadership
  • 36 Months
New
Jindal Global UniversityJindal Global UniversityMaster of Design in User Experience
  • 12 Months
New
Golden Gate University Golden Gate University Doctor of Business Administration (DBA)
  • 36 Months
Bestseller
Ecole Supérieure de Gestion et Commerce International ParisEcole Supérieure de Gestion et Commerce International ParisDoctorate of Business Administration (DBA)
  • 36 Months
Rushford, GenevaRushford Business SchoolDoctorate of Business Administration (DBA)
  • 36 Months
KnowledgeHut upGradKnowledgeHut upGradSAFe® 6.0 Certified ScrumMaster (SSM) Training
  • Self-Paced
KnowledgeHut upGradKnowledgeHut upGradPMP® certification
  • Self-Paced
IIM KozhikodeIIM KozhikodeProfessional Certification in HR Management and Analytics
  • 6 Months
Bestseller
Duke CEDuke CEPost Graduate Certificate in Product Management
  • 4-8 Months
Bestseller
upGrad KnowledgeHutupGrad KnowledgeHutLeading SAFe® 6.0 Certification
  • 16 Hours
Popular
upGrad KnowledgeHutupGrad KnowledgeHutCertified ScrumMaster®(CSM) Training
  • 16 Hours
Bestseller
PwCupGrad CampusCertification Program in Financial Modelling & Analysis in association with PwC India
  • 4 Months
upGrad KnowledgeHutupGrad KnowledgeHutSAFe® 6.0 POPM Certification
  • 16 Hours
O.P.Jindal Global UniversityO.P.Jindal Global UniversityMaster of Science in Artificial Intelligence and Data Science
  • 12 Months
Bestseller
Liverpool John Moores University Liverpool John Moores University MS in Machine Learning & AI
  • 18 Months
Popular
Golden Gate UniversityGolden Gate UniversityDBA in Emerging Technologies with concentration in Generative AI
  • 3 Years
IIIT BangaloreIIIT BangaloreExecutive Post Graduate Programme in Machine Learning & AI
  • 13 Months
Bestseller
IIITBIIITBExecutive Program in Generative AI for Leaders
  • 4 Months
upGradupGradAdvanced Certificate Program in GenerativeAI
  • 4 Months
New
IIIT BangaloreIIIT BangalorePost Graduate Certificate in Machine Learning & Deep Learning (Executive)
  • 8 Months
Bestseller
Jindal Global UniversityJindal Global UniversityMaster of Design in User Experience
  • 12 Months
New
Liverpool Business SchoolLiverpool Business SchoolMBA with Marketing Concentration
  • 18 Months
Bestseller
Golden Gate UniversityGolden Gate UniversityMBA with Marketing Concentration
  • 15 Months
Popular
MICAMICAAdvanced Certificate in Digital Marketing and Communication
  • 6 Months
Bestseller
MICAMICAAdvanced Certificate in Brand Communication Management
  • 5 Months
Popular
upGradupGradDigital Marketing Accelerator Program
  • 05 Months
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in Corporate & Financial Law
  • 12 Months
Bestseller
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in AI and Emerging Technologies (Blended Learning Program)
  • 12 Months
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in Intellectual Property & Technology Law
  • 12 Months
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in Dispute Resolution
  • 12 Months
upGradupGradContract Law Certificate Program
  • Self paced
New
ESGCI, ParisESGCI, ParisDoctorate of Business Administration (DBA) from ESGCI, Paris
  • 36 Months
Golden Gate University Golden Gate University Doctor of Business Administration From Golden Gate University, San Francisco
  • 36 Months
Rushford Business SchoolRushford Business SchoolDoctor of Business Administration from Rushford Business School, Switzerland)
  • 36 Months
Edgewood CollegeEdgewood CollegeDoctorate of Business Administration from Edgewood College
  • 24 Months
Golden Gate UniversityGolden Gate UniversityDBA in Emerging Technologies with Concentration in Generative AI
  • 36 Months
Golden Gate University Golden Gate University DBA in Digital Leadership from Golden Gate University, San Francisco
  • 36 Months
Liverpool Business SchoolLiverpool Business SchoolMBA by Liverpool Business School
  • 18 Months
Bestseller
Golden Gate UniversityGolden Gate UniversityMBA (Master of Business Administration)
  • 15 Months
Popular
O.P.Jindal Global UniversityO.P.Jindal Global UniversityMaster of Business Administration (MBA)
  • 12 Months
New
Deakin Business School and Institute of Management Technology, GhaziabadDeakin Business School and IMT, GhaziabadMBA (Master of Business Administration)
  • 12 Months
Liverpool John Moores UniversityLiverpool John Moores UniversityMS in Data Science
  • 18 Months
Bestseller
O.P.Jindal Global UniversityO.P.Jindal Global UniversityMaster of Science in Artificial Intelligence and Data Science
  • 12 Months
Bestseller
IIIT BangaloreIIIT BangalorePost Graduate Programme in Data Science (Executive)
  • 12 Months
Bestseller
O.P.Jindal Global UniversityO.P.Jindal Global UniversityO.P.Jindal Global University
  • 12 Months
WoolfWoolfMaster of Science in Computer Science
  • 18 Months
New
Liverpool John Moores University Liverpool John Moores University MS in Machine Learning & AI
  • 18 Months
Popular
Golden Gate UniversityGolden Gate UniversityDBA in Emerging Technologies with concentration in Generative AI
  • 3 Years
Rushford, GenevaRushford Business SchoolDoctorate of Business Administration (AI/ML)
  • 36 Months
Ecole Supérieure de Gestion et Commerce International ParisEcole Supérieure de Gestion et Commerce International ParisDBA Specialisation in AI & ML
  • 36 Months
Golden Gate University Golden Gate University Doctor of Business Administration (DBA)
  • 36 Months
Bestseller
Ecole Supérieure de Gestion et Commerce International ParisEcole Supérieure de Gestion et Commerce International ParisDoctorate of Business Administration (DBA)
  • 36 Months
Rushford, GenevaRushford Business SchoolDoctorate of Business Administration (DBA)
  • 36 Months
Liverpool Business SchoolLiverpool Business SchoolMBA with Marketing Concentration
  • 18 Months
Bestseller
Golden Gate UniversityGolden Gate UniversityMBA with Marketing Concentration
  • 15 Months
Popular
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in Corporate & Financial Law
  • 12 Months
Bestseller
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in Intellectual Property & Technology Law
  • 12 Months
Jindal Global Law SchoolJindal Global Law SchoolLL.M. in Dispute Resolution
  • 12 Months
IIITBIIITBExecutive Program in Generative AI for Leaders
  • 4 Months
New
IIIT BangaloreIIIT BangaloreExecutive Post Graduate Programme in Machine Learning & AI
  • 13 Months
Bestseller
upGradupGradData Science Bootcamp with AI
  • 6 Months
New
upGradupGradAdvanced Certificate Program in GenerativeAI
  • 4 Months
New
KnowledgeHut upGradKnowledgeHut upGradSAFe® 6.0 Certified ScrumMaster (SSM) Training
  • Self-Paced
upGrad KnowledgeHutupGrad KnowledgeHutCertified ScrumMaster®(CSM) Training
  • 16 Hours
upGrad KnowledgeHutupGrad KnowledgeHutLeading SAFe® 6.0 Certification
  • 16 Hours
KnowledgeHut upGradKnowledgeHut upGradPMP® certification
  • Self-Paced
upGrad KnowledgeHutupGrad KnowledgeHutAWS Solutions Architect Certification
  • 32 Hours
upGrad KnowledgeHutupGrad KnowledgeHutAzure Administrator Certification (AZ-104)
  • 24 Hours
KnowledgeHut upGradKnowledgeHut upGradAWS Cloud Practioner Essentials Certification
  • 1 Week
KnowledgeHut upGradKnowledgeHut upGradAzure Data Engineering Training (DP-203)
  • 1 Week
MICAMICAAdvanced Certificate in Digital Marketing and Communication
  • 6 Months
Bestseller
MICAMICAAdvanced Certificate in Brand Communication Management
  • 5 Months
Popular
IIM KozhikodeIIM KozhikodeProfessional Certification in HR Management and Analytics
  • 6 Months
Bestseller
Duke CEDuke CEPost Graduate Certificate in Product Management
  • 4-8 Months
Bestseller
Loyola Institute of Business Administration (LIBA)Loyola Institute of Business Administration (LIBA)Executive PG Programme in Human Resource Management
  • 11 Months
Popular
Goa Institute of ManagementGoa Institute of ManagementExecutive PG Program in Healthcare Management
  • 11 Months
IMT GhaziabadIMT GhaziabadAdvanced General Management Program
  • 11 Months
Golden Gate UniversityGolden Gate UniversityProfessional Certificate in Global Business Management
  • 6-8 Months
upGradupGradContract Law Certificate Program
  • Self paced
New
IU, GermanyIU, GermanyMaster of Business Administration (90 ECTS)
  • 18 Months
Bestseller
IU, GermanyIU, GermanyMaster in International Management (120 ECTS)
  • 24 Months
Popular
IU, GermanyIU, GermanyB.Sc. Computer Science (180 ECTS)
  • 36 Months
Clark UniversityClark UniversityMaster of Business Administration
  • 23 Months
New
Golden Gate UniversityGolden Gate UniversityMaster of Business Administration
  • 20 Months
Clark University, USClark University, USMS in Project Management
  • 20 Months
New
Edgewood CollegeEdgewood CollegeMaster of Business Administration
  • 23 Months
The American Business SchoolThe American Business SchoolMBA with specialization
  • 23 Months
New
Aivancity ParisAivancity ParisMSc Artificial Intelligence Engineering
  • 24 Months
Aivancity ParisAivancity ParisMSc Data Engineering
  • 24 Months
The American Business SchoolThe American Business SchoolMBA with specialization
  • 23 Months
New
Aivancity ParisAivancity ParisMSc Artificial Intelligence Engineering
  • 24 Months
Aivancity ParisAivancity ParisMSc Data Engineering
  • 24 Months
upGradupGradData Science Bootcamp with AI
  • 6 Months
Popular
upGrad KnowledgeHutupGrad KnowledgeHutData Engineer Bootcamp
  • Self-Paced
upGradupGradFull Stack Software Development Bootcamp
  • 6 Months
Bestseller
KnowledgeHut upGradKnowledgeHut upGradBackend Development Bootcamp
  • Self-Paced
upGradupGradUI/UX Bootcamp
  • 3 Months
upGradupGradCloud Computing Bootcamp
  • 7.5 Months
PwCupGrad CampusCertification Program in Financial Modelling & Analysis in association with PwC India
  • 5 Months
upGrad KnowledgeHutupGrad KnowledgeHutSAFe® 6.0 POPM Certification
  • 16 Hours
upGradupGradDigital Marketing Accelerator Program
  • 05 Months
upGradupGradAdvanced Certificate Program in GenerativeAI
  • 4 Months
New
upGradupGradData Science Bootcamp with AI
  • 6 Months
Popular
upGradupGradFull Stack Software Development Bootcamp
  • 6 Months
Bestseller
upGradupGradUI/UX Bootcamp
  • 3 Months
PwCupGrad CampusCertification Program in Financial Modelling & Analysis in association with PwC India
  • 4 Months
upGradupGradCertificate Course in Business Analytics & Consulting in association with PwC India
  • 06 Months
upGradupGradDigital Marketing Accelerator Program
  • 05 Months

Explaining 5 Layers of Convolutional Neural Network

Updated on 08 March, 2023

5.39K+ views
7 min read
Explaining Layers of Convolutional Neural Network

A CNN (Convolutional Neural Network) is a type of deep learning neural network that uses a combination of convolutional and subsampling layers to learn features from large sets of data.

It is commonly used for image recognition and classification tasks. The convolutional layers apply filters to the input data, and subsampling layers reduce the input data size. Convolutional Neural Network architecture aims to learn features from the data that can be used to classify or detect objects in the input. Below are the 5 CNN layers explained.

5 Layers of a Convolutional Neural Network

1. Convolutional Layer: This layer performs the convolution operation on the input data, which extracts various features from the data. 

Convolutional Layers in a CNN model architecture are one of the most vital components of CNN layers. These layers are responsible for extracting features from the input data and forming the basis for further processing and learning.

A convolutional layer consists of a set of filters (also known as kernels) applied to the input data in a sliding window fashion. Each filter extracts a specific set of features from the input data based on the weights associated with it. 

The number of filters used in the convolutional layer is one of the key hyperparameters in the architecture. It is determined based on the type of data being processed as well as the desired accuracy of the model. Generally, more filters will result in more features extracted from the input data, allowing for more complex network architectures to understand the data better.

The convolution operation consists of multiplying each filter with the data within the sliding window and summing up the results. This operation is repeated for all the filters, resulting in multiple feature maps for a single convolutional layer. These feature maps are then used as input for the following layers, allowing the network to learn more complex features from the data.

Convolutional layers are the foundation of deep learning architectures and are used in various applications, such as image recognition, natural language processing, and speech recognition. By extracting the most critical features from the input data, convolutional layers enable the network to learn more complex patterns and make better predictions.

2. Pooling Layer: This layer performs a downsampling operation on the feature maps, which reduces the amount of computation required and also helps to reduce overfitting.

The pooling layer is a vital component of the architecture of CNN. It is typically used to reduce the input volume size while extracting meaningful information from the data.

Pooling layers are usually used in the later stages of a CNN, allowing the network to focus on more abstract features of an image or other type of input. The pooling layer operates by sliding a window over the input volume and computing a summary statistic for the values within the window.

Common statistics include taking the maximum, average, or sum of the values within the window. This reduces the input volume’s size while preserving important information about the data.

The pooling layer is also typically used to introduce spatial invariance, meaning that the network will produce the same output regardless of the location of the input within the image. This allows the network to inherit more general features about the image rather than simply memorizing its exact location.

3. Activation Layer: This layer adds non-linearity to the model by applying a non-linear activation function such as ReLU or tanh.

An activation layer in a CNN is a layer that serves as a non-linear transformation on the output of the convolutional layer. It is a primary component of the network, allowing it to learn complex relationships between the input and output data.

The activation layer can be thought of as a function that takes the output of the convolutional layer and maps it to a different set of values. This enables the network to learn more complex patterns in the data and generalize better.

Common activation functions used in CNNs include ReLu (Rectified Linear Unit), sigmoid, and tanh. Each activation function serves a different purpose and can be used in different scenarios.

ReLu is the most commonly used activation function in most convolutional networks. It is a non-linear transformation that outputs 0 for all negative values and the same value as the input for all positive values. This allows the network to imbibe more complex patterns in the data.

Sigmoid is another commonly used activation function, which outputs values between 0 and 1 for any given input. This helps the network to understand complex relationships between the input and output data but is more computationally expensive than ReLu.

Tanh is the least commonly used activation function, which outputs values between -1 and 1 for any given input.

The activation layer is an essential component of the CNN, as it prevents linearity and enhances non-linearity in the output. Choosing the right activation function for the network is essential, as each activation function serves a different purpose and can be used in different scenarios. Selecting a suitable activation function can lead to better performance of the CNN structure.

Learn Machine Learning Online Courses from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.

4. Fully Connected Layer: This layer connects each neuron in one layer to every neuron in the next layer, resulting in a fully-connected network.

A fully connected layer in a CNN is a layer of neurons connected to every neuron in the previous layer in the network. This is in contrast to convolutional layers, where neurons are only connected to a subset of neurons in the previous layer based on a specific pattern.

By connecting every neuron in one layer to every neuron in the next layer, the fully connected layer allows information from the previous layer to be shared across the entire network, thus providing the opportunity for a more comprehensive understanding of the data.

Fully connected layers in CNN are typically used towards the end of a CNN model architecture, after the convolutional layers and pooling layers, as they help to identify patterns and correlations that the convolutional layers may not have recognized.

Additionally, fully connected layers are used to generate a non-linear decision boundary that can be used for classification. In conclusion, fully connected layers are an integral part of any CNN and provide a powerful tool for identifying patterns and correlations in the data.

5. Output Layer: This is the final layer of the network, which produces the output labels or values.

The output layer of a CNN is the final layer in the network and is responsible for producing the output. It is the layer that takes the features extracted from previous layers and combines them in a way that allows it to produce the desired output.

A fully connected layer is typically used when the output is a single value, such as a classification or regression problem. A single neuron layer is generally used when the outcome is a vector, such as a probability distribution.

A softmax activation function is used when the output is a probability distribution, such as a probability distribution over classes. The output layer of a CNN is also responsible for performing the necessary computations to obtain the desired output. This includes completing the inputs’ necessary linear or non-linear transformations to receive the output required.

Finally, the output layer of a CNN can also be used to perform regularization techniques, such as dropout or batch normalization, to improve the network’s performance.

Conclusion

The CNN architecture is a powerful tool for image and video processing tasks. It is a combination of convolutional layers, pooling layers, and fully connected layers. It allows for extracting features from images, videos, and other data sources and can be used for various tasks, such as object recognition, image classification, and facial recognition. Overall, this type of architecture is highly effective when applied to suitable functions and datasets.

Acquire a proficient skill set in ML and DL with upGrad

With upGrad’s Advanced Certificate Programme in Machine Learning & Deep Learning offered by IIIT-B, you can gain proficiency in Machine Learning and Deep Learning. The program covers the fundamentals of ML and DL, including topics such as supervised and unsupervised learning, linear and logistic regression, convolutional neural networks, reinforcement learning, and natural language processing. You will also learn to build and deploy ML and DL models in Python and TensorFlow and gain practical experience by working on real-world projects. 

This course also includes benefits such as: 

  • Mentorship and guidance from industry experts 
  • Placement assistance to help you find the right job
  • An Advanced Certificate from IIIT Bangalore

Frequently Asked Questions (FAQs)

1. What are the libraries in Python which can be used for a CNN?

The libraries in Python which can be used for a CNN include TensorFlow, Keras, PyTorch, Caffe, Theano, Scikit-learn, MxNet, CNTK, OpenCV, and SciPy. These libraries can be used to obtain pre-built modules to create applications and easily implement CNN algorithms.

2. How many dimensions are there in CNN layers?

Convolutional neural networks contain neurons arranged in 3 dimensions: width, height, and depth. This three-dimensional structure of neurons is present within the convolution layer, which works through the computing process with the given input to deliver the resulting output.

3. Can I develop a CNN in R?

Yes, CNNs can be developed using both Python and R. With R providing exceptionally detailed libraries, creating a convolution neural network with R is pretty easy.

Did you find this article helpful?

Sriram

Meet Sriram, an SEO executive and blog content marketing whiz. He has a knack for crafting compelling content that not only engages readers but also boosts website traffic and conversions. When he's not busy optimizing websites or brainstorming blog ideas, you can find him lost in fictional books that transport him to magical worlds full of dragons, wizards, and aliens.

See More

Get Free Consultation

+91
Phone number

By clicking "Submit" you Agree toupGrad's Terms & Conditions