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KERAS Course Bundle - 10 Courses in 1
This Keras Training includes 10 courses with 27+ hours of video tutorials and Lifetime access. This course is about Deep Learning with Keras and how you can get yourself up to speed with both the practice and theory using Keras to put into operation in deep neural networks.
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What you get in this KERAS Course Bundle - 10 Courses in 1?
27+ Hours
10 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
About KERAS Course Bundle
| Courses | You get access to all 10 courses, Projects bundle. You do not need to purchase each course separately. |
| Hours | 27+ Video Hours |
| Core Coverage | This course will help you learn how to code using Dart and build beautiful, fast IOS and Android apps. |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning Keras Training |
| Pre-Requisites | Knowledge of Python, Data Science concepts is preferable |
| What do you get? | Certificate of Completion for each of the 10 courses, Projects |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These links can be included in your resume/Linkedin profile to showcase your enhanced skills. |
| Type of Training | Video Course – Self-Paced Learning |
KERAS Course Bundle Curriculum
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MODULE 1: kERAS & Deep Learning Essentials Training
Courses No. of Hours Certificates Details Deep Learning Tutorials 1h 34m ✔ Deep Learning ZERO to HERO - Hands-on with Python 10h 8m ✔ -
MODULE 2: Learning from Practicals & Projects on Keras
Courses No. of Hours Certificates Details Project on Keras - Building a Chatbot 4h 8m ✔ Project on Keras - Creating An Advanced Face Recognition Computer Vision App 3h 09m ✔ Project On Keras: Sentimental Analysis using RNN 1h 16m ✔ Project on Keras - Image Classification 1h 49m ✔ -
MODULE 3: Learning from Case Studies
Courses No. of Hours Certificates Details Deep Learning: Artificial Neural Network ANN using Python 2h 31m ✔ Deep Learning: Convolutional Neural Network CNN using Python 1h 06m ✔ Deep Learning: RNN, LSTM, Stock Price Prognostics using Python 2h 18m ✔ Deep Learning: Project using Convolutional Neural Network CNN in Python 1h 02m ✔
Goals
It aims to provide knowledge to those who are willing to learn Keras. This course provides assistance to them and helps them develop these skills and use Keras in deep learning of data.
Objectives
The main objective of this Keras Course is to assist people who are ready to learn Keras from the beginning. This training program will include two main modules, Deep Learning Tutorials, and Hands-on Deep Learning Training, which will be further elaborated for the trainees so that it can be used in the practical human race to solve complicated problems.
Course Highlights
This educational program consists of two modules which are drafted in such a manner that they can provide information without any jargon.
Deep learning tutorials are the first training module in which you will be learning about how Keras helps in deep learning; a brief introduction will be given by the instructor in the course through a video lecture of almost a two-hour-long.
Hands-on deep learning training is the next module which will be all about how you can set your hand in Keras and work effectively. This module is covered through an eleven-hour video tutorial, and you are free to ask any kind of doubts to your mentor.
To create it simple for the trainees to grasp the ideas, we’ve got enclosed varied examples from this course. They’re going to see many different types of demonstrations where the topics are directly informed towards the ideas that you just would have lined within the units. We’ve got additionally enclosed a number of the sample queries within the unit wherever all the queries area unit type of topic for minor comes.
It is vital to note that the course has been designed in a manner so it covers all the advanced and beginner-level topics in one field. The topics that area unit relatively robust to grasp are thought of as advanced level topics, and we have ensured to convey a lot of concentration on such topics. To form it simple for the trainees to grasp the ideas, you have got additional straightforward examples every against the thought.
Project Highlights
This Keras Training program comprises two main modules, which are further divided into subunits which are explained in brief through the video tutorial. The project will be based on the training program, which will be submitted at the end of the training modules.
Project on Keras – Building a Chatbot is the first project module where you will be working on Keras for building a chatbot .all the fundamentals studied in the course modules will be used .detailing of the project will be done through a video tutorial of almost two hours long.
Project on Keras – Creating An Advanced is the first project module where you will be working on Keras and creating using advanced tools. The project will be briefed to you by the mentor through a video tutorial.
Project on Deep Learning – ANN is the first project module where you will be working on an artificial neural network using Keras. The first project module where you will be working on Keras Project on Deep Learning – CNN first project module where you will be working on Keras
Project on Deep Learning – Stock Price is the first project module where you will be working Convolutional Neural Network (CNN) using different tools for years. All guidance in your project will be given by the instructor.
Project on Deep Learning – Handwritten is the first project module where you will be working on a project in which you will be making Handwritten Digit Recognition in Keras. The instructor will guide and help you at every step.
There are a number of ideas lined up during this project that doesn’t seem to be directly but indirectly related to this technology. You will be learning regarding all such topics through this project and can even be ready to attain Excellency on them.
The pedagogue explains all the ideas very well, and you’ll even be needed to practice an equivalent at your finish. It is vital to note that the course has been designed in a manner so it covers all the advanced and beginner-level topics in one field. The topics that area unit relatively robust to grasp are thought of as advanced level topics, and we have ensured to convey a lot of concentration on such topics. To form it simple for the trainees to grasp the ideas, you have got additional straightforward examples every against the thought.
After finishing this project, you’ll be ready to leverage all of your sturdy understanding of this technology to endorse any project wherever it needs experience or to draft solutions using Keras.
Keras Training – Certificate of Completion
What is Keras?
It is a minimalist Python library for deep learning which can run on high Theano or tensor flow. It was developed to create and implement deep learning models as fast and simply as achievable for analysis and development. Keras was developed and maintained by François Chollet, a Google engineer victimizing four guiding principles: Modularity: A model could also be understood as a sequence or a graph alone. All the concerns of a deep learning model unit of measurement separate elements that can be combined in arbitrary ways in which; Minimalism: The library provides only enough to appreciate associate degree outcome, no-frills, and increasing readability; Extensibility: New elements unit of measurement by choice simple to feature and use within the framework, meant for researchers to trial and explore new concepts, Python: No separate model files with custom file formats. Everything is native Python.
What skills will you learn in this Course?
This educational program has been developed in such a fashion; therefore, it will embrace all the ideas that one master to figure like an expert within the Keras application. Within the gap coaching module of the course, the trainer can transient you concerning the fundamentals of deep learning in Keras through the primary unit of the primary module, which can be useful for the learner to grasp the fundamentals ideas, which can be just like the supplements to grasp a lot of compound ideas. You’ll even be gaining information concerning all the advanced ideas of deep learning, which can even be practiced with the assistance of mock queries that square measure lined within the coaching modules and can be displayed with the solutions. Once finishing this course, you will have all the power which will be needed to figure out efficiency. You’ll be able to develop a portfolio of completed little comes, which permits you to demonstrate your ability to develop and deliver adept models and employ a systematic five-step project model to execute comes, and a nine-step model for presenting results permits you to each methodically complete comes and communicate findings.
Pre-requisites
- The requirement of this course is not difficult. The necessities for the course are a basic understanding of Python. Some previous expertise with information science and machine language is needed, Basic processing in stands out, and a few data on likelihood is better. It will be smart for the trainees if they need an honest understanding of the fundamentals. Because it is all concerning analysis, it’ll be useful for the learner to understand the advanced-level ideas if they need a nice hold on judgment construction. But we’ve got already intercalary all the stipulations of this educational program, and it’ll be useful for the learner if they’ll get some plan from the stipulations before truly beginning with the Keras coaching.
Target Audience
- This course is open to ample vary of individuals. the folks that have Machine and deep learning disciplines are generating an enormous quantity of interest within the technology field, and information science professionals who have the proper skills in machine learning and deep learning are well-positioned to surpass within the coming back years are a lot of on our targets. Individuals from a spread of fields will take this course primarily to have technical data. Most frequently, students having graduate degrees and master’s or postgraduates having an interest in the technical fields will apply simply during this course. Students starting with machine learning, however, are already comfy with Python.
FAQs- General Questions
How much should I expect to spend weekly for this Course?
One ought to give a minimum of degree hour of his time to this Keras course, and the rest is completely obsessed with what proportion of time you may give to the course. As some components may need a great deal of attention for a while, and several wise queries may need longer. The time area unit is completely yours; at what pace are you willing to do the current puppet program.
How does training help me advance my career?
In today’s age, it’s become essential to carry out scalable and alienable solutions for each piece of writing and system. Exploitation. Cassandra can facilitate management over automation of your IT infrastructure with ease and effectiveness. So it will be helpful for you to advance your career.
I am new to Keras. Can I take up this Training?
Yes, you can take up this educational program if you think that you fulfill the necessity for this educational program and if you feel that you simply are utterly going for this course. You need to meet all the requirements and bear all the small print. Then you need to select this course. It’ll offer you a boom in your career and open additional opportunities for you with these skills.
I am working in an MNC and planning to take up certification. Then how is this Training going to help me?
The certification in this training program has several benefits for an individual as it increases productivity in deep learning with Keras. The trainee will be able to master the use of a puppet in his professional career and make its work easy and effective at the same time using puppet tools. Keras’s tools will make your work efficient. So it will help to advance your skills through these courses and get a promotion in your work.
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Career Benefits
- Keras Library is employed by several organizations attributable to its characteristics and, therefore, the options adored. It provides a good variety of economic, well-designed support for all to run on high Theano or tensorflow. in the ever-changing setting and plenty of other options that are beneficial for the organization. This course can fulfill the dream of these people of organizations who are willing to pursue their careers in IT technology and information analysis and might get smart jobs supporting their learning. Even there’s a regular payment increment wherever you may get improved pay consistent with your information once the Keras training course. Generally, people additionally get promotions once the course is over and may get additional duties and lift within the company ladder.
Reviews
Deep Learning
I got this link while searching over the internet, I have gone through If you want to learn Neural Nets and TensorFlow, then this course is perfect. It helped me a lot to understand basic things in Machine Learning. A very detailed explanation with examples helped me to get through each section. Looking forward to more such training.
Greg Kowalczyk
Excellent
Excellent organized examples. I really enjoyed the online learning experience. This course is perfect for anyone who is interested to learn Keras for deep learning.
Sudhir Jain
Very Practical
I enrolled in this deep learning certification after taking the machine learning course from this academy. I must say both the courses are fabulous. Deep learning course specifically focuses on teaching complicated concepts in an easy-to-understand manner. I am from a non-technical background, and thus initially I was skeptical about the content, but now I am 100% satisfied. This deep learning training is easy to understand for a non-tech person as well. After the course, I started participating in online deep learning completions and challenges which was difficult for me earlier. I recommend this course to everyone who wants to learn deep learning.
John Johnson
