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Home Data Science Data Science Courses KERAS Course Bundle – 10 Courses in 1

KERAS
Specialization | 10 Course Series

This Keras Training includes 10 courses with 27+ hours of video tutorials and One year 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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4.5 (13,740 ratings)

* One Time Payment & Get One year access

Offer ends in:

What you'll get

  • 27+ Hours
  • 10 Courses
  • Course Completion Certificates
  • One year access
  • Self-paced Courses
  • Technical Support
  • Mobile App Access
  • Case Studies

Synopsis

  • 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: One year 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

Content

  • MODULE 1: kERAS & Deep Learning Essentials Training

    Courses No. of Hours Certificates Details
    Deep Learning Tutorials1h 34m✔
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m✔
  • MODULE 2: Learning from Practicals & Projects on Keras

    Courses No. of Hours Certificates Details
    Project on Keras - Building a Chatbot4h 9m✔
    Project on Keras - Creating An Advanced Face Recognition Computer Vision App3h 12m✔
    Project On Keras: Sentimental Analysis using RNN1h 15m✔
    Project on Keras - Image Classification1h 36m✔
  • MODULE 3: Learning from Case Studies

    Courses No. of Hours Certificates Details
    Deep Learning: Artificial Neural Network ANN using Python2h 29m✔
    Deep Learning: Convolutional Neural Network CNN using Python1h 06m✔
    Deep Learning: RNN, LSTM, Stock Price Prognostics using Python2h 17m✔
    Deep Learning: Project using Convolutional Neural Network CNN in Python1h 02m✔

Description

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.

Sample Certificate

Course Certification

Requirements

    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.

Course Ratings

  • Greg Kowalczyk
    Deep Learning

    I got this link while searching over 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. Very detailed explanation with examples helped me to get through each sections. Looking forward to more such training.

    Greg Kowalczyk

* One Time Payment & Get One year access

Offer ends in:

Training 5 or more people?

Get your team access to 5,000+ top courses, learning paths, mock tests anytime, anywhere.

Drop an email at: [email protected]

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Course Curriculum
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    CoursesNo. of Hours
    Deep Learning Tutorials1h 34m
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m
    Project on Keras - Building a Chatbot4h 9m
    Project on Keras - Creating An Advanced Face Recognition Computer Vision App3h 12m
    Project On Keras: Sentimental Analysis using RNN1h 15m
    Project on Keras - Image Classification1h 36m
    Deep Learning: Artificial Neural Network ANN using Python2h 29m
    Deep Learning: Convolutional Neural Network CNN using Python1h 06m
    Deep Learning: RNN, LSTM, Stock Price Prognostics using Python2h 17m
    Deep Learning: Project using Convolutional Neural Network CNN in Python1h 02m

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