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Course Details

  • Course Overview
  • Course Objective
  • Who Can Benefit
  • Prerequisite
  • Syllabus

In this course you will learn about Understanding the Machine learning concepts with Python

  • Familiarises the participant about the Machine learning concepts and how to realize them.
  • Participant will be able to solve some Machine learning problems in python.
  • Any person who wants to learn Machine and want to take a step ahead in Data Science.
  • 9-10th Standard of Maths knowledge is required.

Module 1: Deep Learning - Introduction to Deep Learning

  • Define Deep Learning 
  • Neural Networks 
  • Deep Learning Applications 


Module 2: Deep Learning - Perceptron

  • What is a Perceptron 
  • Logic Gates with Perceptrons 
  • Activation Functions 
  • Sigmoid 
  • ReLU 
  • Softmax Hyperbolic Functions

Module 3: Deep Learning - How to train ANNs

  • Introduction 
  • Perceptron Learning Rule 
  • Gradient Descent Rule 
  • Minimize Cost Function 
  • Tuning Learning Rate 
  • Stochastic vs Bat

Module 4: Deep Learning - Multi-layer ANN

  • Intro to MLP 
  • Forward propagation 
  • Minimize Cost Function 
  • Backpropagation 
  • Convergence in a neural net 
  • Overfitting and Capacity 
  • Hyperparameters in an ANN 

Module 5: Deep Learning - Getting started & Introduction to TensorFlow

  • Intro to TensorFlow 
  • Computational Graph 
  • Key highlights 
  • Creating a Graph 
  • Regression example 
  • Gradient Descent 
  • Saving and Restoring Models 
  • Tf.layers API 
  • Keras-based networks 
  • TensorBoard

Module 6: Arificial Intelligence: Getting started & Introduction to TensorFlow

  • Setting up a deep learning environment
  • Installing libraries
  • Connecting with Jupyter Notebook on a server
  • Intuitively building networks with Keras
  • Tensorflow Hello World-Very simple example to learn how to print "hello world" using TensorFlow
  • Tensorflow Basic Operations-A simple example that cover TensorFlow basic operations
  • Tensorflow Linear Regression-Implement a Linear Regression with TensorFlow
  • Tensorflow Logistic Regression-Implement a Logistic Regression with TensorFlow
  • Tensorflow Nearest Neighbor-Implement Nearest Neighbor algorithm with TensorFlow
  • Tensorflow K-Means-Build a K-Means classifier with TensorFlow
  • Tensorflow Random Forest-Build a Random Forest classifier with TensorFlow

Module 7: Deep Learning - Training Deep Neural Nets

  • Vanishing/Exploding Gradients 
  • Xavier Initialization 
  • Leaky ReLUs and ELUs 
  • Batch Normalization 
  • Transfer Learning 
  • Unsupervised Pre-training 
  • Optimizers 
  • Regularization 
  • Dropout 

Module 8: Arificial Intelligence: Text Data Processing

  • Identify and mark sentence, phrase, and paragraph boundaries
  • Language identification
  • Tokenization
  • Acronym normalization and tagging
  • Lemmatization / Stemming
  • Decompounding 
  • Entity extraction – Regex, Dictionary etc
  • Phrase extraction - Part of speech tagging, Statistical phrase extraction etc 
  • NER
  • Ontology/taxonomy extraction and creation
  • Wordnet
  • Analyzing sentiment
  • Translating sentences
  • Summarizing text



  • Developers

Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

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  • Why should I choose RPS?
  • I am working, is it possible to arrange the classes on weekends?
  • Please confirm if your office is open on weekends?
  • Can I get the courseware in advance before start of training?
  • What are the timings (class hours)?
  • How can I make the payment?
  • What is the mode of payment?
  • Candidate authorized RPS to charge $200. But the bank has charged $208. Why is this?
  • If we need training on one of the modules only how does that work?
  • How long before do we need to book the exams?
  • Where are your training centers available?
  • Can I pay the fee in installments?
  • What are the refund policies? Can i get my money back in case i am unable to attend the training?
  • Do you provide a bank loan facility?
  • 10+ years of Training Expertise
  • Certified instructors with industry standard experience
  • Tailor made training available
  • 6+ training Locations
  • 100000 + professional trained
  • Customer Satisfaction
  • Reliable and Most cost effective Training

Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.

The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.

Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.

Training timings are from 9 am to 5 pm.

You can send the deposit by any of the following methods:-

  • PayPal
  • Credit Card
  • Bank Transfer
  • Demand Draft
  • Cash
  • Purchase Order (in case of Corporates / Government).
  • If you are an International student, the registration amount of USD 200 can be paid by Bank Transfer or PayPal/PayUMoney . The balance amount has to be paid by traveler's cheque or cash after arrival in India. You can also pay the balance by PayPal. There is a surcharge of 4% in this case.
  • For Indian Resident students, the course fees including registration can be paid by Cash, Cheque, Demand Draft or Bank transfer.To Know more Please call +919883305050 or Email us at for any of your queries.

Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.

We can provide customized 1-to-1 training for a technology as per your requirement.

Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.

Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.

We do not have facility to pay in installments

If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.

We do not provide loan facility.

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