- Course Overview
- Installation and Setup
- Lesson Overview
- Data Representation
- Loading a Dataset from the UCI Machine Learning Repository
- Data Pre-Processing
- Cleaning the Data
- Appropriate Representation of the Data
- Lifecycle of Model Creation
- Machine Learning Libraries and scikit-learn
- Keras
- Model Training
- Creating a Simple Model
- Model Tuning
- Regularization
Online
₹ 3,499
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Since the era of technology is changing, big companies are looking for new experts in various fields. The companies using modern technology require trained professionals to utilise their skills in a productive manner. Data Analytics using Keras is a part of mathematical analytics which has brought a whole new change in the technology world. It is a great way to start using digitalization and technical aspects of work in the workplace.
Nowadays, the need for such trained professionals is enhancing day by day. Big companies such as Amazon, Flipkart, Google are looking for trained professionals with a deep understanding of Keras.
With Certified in Deep Learning with Keras, can access different skills to be professionally trained in using Keras. Online classes and supportive faculty contribute a lot to this course to be the right choice for learners seeking these skills. After getting certified through this course, learners will get several job opportunities from recruiters and other modes.
The highlights
- Lifetime validity of the programme
- Certification from VSkills
- Lifetime access to programme material
Program offerings
- Online class
- Practice exams
- Online lectures
- Study material
Course and certificate fees
Fees information
Candidates will make a fee payment of Rs. 3,499 plus taxes to enroll in Certified in Deep Learning with Keras programme.
Certified in Deep Learning with Keras programme Fees Details
Head | Amount |
Programme Fees | Rs. 3,499 + taxes |
certificate availability
certificate providing authority
Eligibility criteria
Certifying Qualifying Details
A test of 60 minutes will be conducted wherein candidates need to secure minimum 50% marks which is 25 marks to clear the programme. The Certified in Deep Learning with Keras programme completion certificate will be given to candidates if they successfully complete it and pass the programme.
What you will learn
Through this course Certificate in Deep Learning with Keras, learners will be able to master the following: -
- They will have a proper understanding of Optimization
- Learners will know how to perform Single Style Transfer
- Techniques to perform GANs
- Keras API and its various techniques
- Important Concepts such as CNN Architectures and Recurrent Networks
Admission details
Participants who are looking forward to being a part of the Certificate in Deep Learning with Keras programme admission must follow the steps that are given below:
Step 1: GO to the official programme URL.
Step 2: The candidates will find a tab ‘Buy Now’ which should be clicked to proceed further.
Step 3: The candidate will direct to a new page wherein they need to first register and create their user credentials.
Step 4: Once the login is created, they need to click on the tab ‘Continue’.
Step 5: Post this, the candidate will direct to the Account Details page wherein they need to log in.
Step 6: The user will log in with a registered user id and password and then proceed to the Payment Method page. Here the candidates will be able to select the desired mode of making the payment.
Step 7: Once the order summary is checked and all the payment details are confirmed the candidate will be able to make the payment and then get a confirmation for registration.
The syllabus
Introduction to Machine Learning with Keras
Machine Learning versus Deep Learning
- Lesson Overview
- Introduction to ANNs
- Linear Transformations
- Matrix Transposition
- Introduction to Keras
Deep Learning with Keras
- Lesson Overview
- Building Your First Neural Network
- Gradient Descent for Learning the Parameters
- Model Evaluation
Evaluate Your Model with Cross-Validation using Keras Wrappers
- Lesson Overview
- Cross-Validation
- Cross-Validation for Deep Learning Models
- Evaluate Deep Neural Networks with Cross-Validation
- Model Selection with Cross-validation
- Write User-Defined Functions to Implement Deep Learning Models with Cross-Validation
Improving Model Accuracy
- Lesson Overview
- Regularization
- L1 and L2 Regularization
- Dropout Regularization
- Other Regularization Methods
- Data Augmentation
- Hyperparameter Tuning with scikit-learn
Model Evaluation
- Lesson Overview
- Accuracy
- Imbalanced Datasets
- Confusion Matrix
- Computing Accuracy and Null Accuracy with Healthcare Data
- Calculate the ROC and AUC Curves
Computer Vision with Convolutional Neural Networks
- Lesson Overview
- Computer Vision
- Architecture of a CNN
- Image Augmentation
- Amending Our Model by Reverting to the Sigmoid Activation Function
- Changing the Optimizer from Adam to SGD
- Classifying a New Image
Transfer Learning and Pre-trained Models
- Lesson Overview
- Pre-Trained Sets and Transfer Learning
- Fine Tuning a Pre-Trained Network
- Classification of Images that are not Present in the ImageNet Database
- Fine-Tune the VGG16 Model
- Image Classification with ResNet
Sequential Modeling with Recurrent Neural Networks
- Lesson Overview
- Sequential Memory and Sequential Modeling
- Long Short-Term Memory – LSTM
- Predict the Trend of Apple's Stock Price Using an LSTM with 50 Units (Neurons)
- Predicting the Trend of Apple's Stock Price Using an LSTM with 100 Units
Evaluation process
A candidate has to appear in a 60-minutes test and they need to score a minimum 50 percent marks to clear the programme and get the certification.
How it helps
Through Certified in Deep Learning with Keras programme, candidates will get to learn and master the concepts of Keras in detail. This course helps learners reach various job opportunities. Learners will fit efficiently to various job roles related to analysing and understanding data.
This course offers its learners with sample questions and certification to learn every point easily. There is a government certification as well which is provided to the candidates. One can then reshare it ahead on different professional platforms as well.
With expert faculty and easy accessibility, this course is a perfect course for everyone who’s looking to acquire skills for this course. They also get their profile featured in job recruiting websites namely Monster and Shine. With lifetime access to programme material, candidates will be able to read and learn the programme at any point of time as per one's convenience.
FAQs
The Certified in Deep Learning with Keras programme covers diversified subjects namely, Deep Learning, Machine Learning, KERAS Installation, KERAS API etc in this certification course.
If you are willing to drop in between and would like to get a refund then you need to speak with the officials at the academy.
The exam for Certified in Deep Learning with Keras programme will be conducted online.
Candidates get lifetime access for Certified in Deep Learning with Keras programme and can read and refer to it at any point in time.