Keras Training

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  • Learners : 503
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Keras Course Overview

Mindmajix Keras Training makes you an expert in Determining best parameters in Neural Networks using GridSearchCV , Multilayer Perceptron in Keras , Recurrent Neural Networks, Overview of predefined activation functions, Recognizing CIFAR-10 images with DL, Implementation of Keras in future-scope for better Secure Application. You will also gain knowledge on How can we obtain the output of an intermediate layer, Overview of predefined neural network layers, Installation of Keras on Docker, How to use Keras. Enroll & Get Certified Now!
30 hours of Instructor Led Keras Training
Lifetime Access to Recorded Sessions
Real World use cases and Scenarios
Practical Approach
24/7 Support
Expert & Certified Trainers

Keras Course Curriculum

Understanding the features of Keras
Advantages of Keras
Keras Limitations

Installig Keras

Installation of dependencies
Installation of Theano
Installation of TensorFlow
Installation of Keras
Testing each Installation

Configuring Keras

Installation of Keras on Docker
Installation of Keras on Google Cloud ML
Installation of Keras on Amazon AWS
Installation of Keras on Microsoft Azure

Keras API

Basic Architecture of Keras
Overview of predefined neural network layers
Overview of predefined activation functions
Understanding Losses Functions
Understanding Metrics
Some Useful Operations

Deep Convolutional Neural Network
Understanding Deep Convolutional Neural Network (DCNN)
Simple Example of DCNN
Recognizing CIFAR-10 images with DL

Overview of GAN
Keras adversarial GANs for forging MNIST
Keras adversarial GANs for forging CIFAR
Understanding WaveNet

Distributed Representations
Understanding word2vec
GloVe Exploring functionalities
Using pre-trained embeddings

Basics of SimpleRNN cells
Understanding RNN Topologies
Using Gated Recurrent Unit -GRU
Concept of Bidirectional RNNs
Vanishing and exploding gradients
Using Long Short Term Memory -LSTM
Understanding Stateful RNNs

Dealing with Keras Functional API
Understanding Regression Networks
Concept of Unsupervised Learning
Keras Customization scenario
Using Generative Models

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Our Course in Comparison

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  • 1-1 Training
  • Batch Start Dates
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  • LifeLong Access to LMS
  • 24*7 Support
  • EMI Option
  • Group Discounts
  • Mindmajix Keras Training online
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  • Other Virtual Live Classes
  • Fixed

Keras Certification !

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Keras Upcoming Batches

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    Jun 27 (2 hrs a day)

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FAQ's!

Have questions? We’ve got the answers. Get the details on how you can grow in this course.

Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

Yes, we will discuss with our instructor and will schedule according to the time convenient to you.

The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.

The trainer is a certified consultant and has significant amount of experience in working with the technology.

We will take care of providing you with all that is required to get placed in a reputed MNC and also forward your resume to the companies we tie-up with. Starting from providing the in-depth course material to explanation of the real-time scenarios and preparing your resumes, we will make you gain expertise so that you can get a job.

We assist you completely in acquiring certification. We ensure you will get certified easily after our training.

Yes, we accept payments in two installments.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

Our trainer explains every topic along with real-time scenarios. In the last one or two sessions, the trainer will explain one end-to-end project to showcase the real time working environment.

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