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Deep Learning Training Course in Bangalore India

Deep Learning Training Course in Bangalore

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“Become a Deep Learning Expert From Bangalore's #1 Machine Learning and AI Training Institute”

We provide the best Deep Learning with TensorFlow Course that was designed by industry experts and structured by the latest model to make every concept match with current trends followed by industries. Candidates become experts with our concepts and methods the way we train with real-time projects from implementing deep learning algorithms and develop AI neural networks, and traverse layers of data abstraction to make you a deep understanding of the detailed programs.

Course Description

Deep Learning is a subset of machine learning involved with algorithms stimulated by the structure and design of the intellectual called AI neural networks. NearLearn a leading deep learning training institute in Bangalore provides excellent courses demonstrate through our expert's trainers will provide with hands-on-experience from basic to advance level that makes you build applications by covering all programs such as structured and hierarchical learning.

We have a strong background in teaching software programs like deep learning. We designed the courses with job oriented and goal setting, and result in the creation that provides instant value to any companies.

We have connected with companies that create awareness to update our programs based on requirements. You will start your deep learning training in Bangalore on the highly interactive platforms with support from industry experts, where you will learn the fundamentals through employing videos from Machine Learning specialists, application activities, and support.

You will travel to an extra appealing training formation with live speeches by our expert staff along with real-time projects. The trainers and lab assemblies are synced to guarantee that you receive a holistic learning expertise.

NearLearn holds 4 years of rich experience in providing classroom training for deep learning courses. We provide deep learning certification training in Bangalore on essential artificial intelligence topics.

This is a specialized course designed by our staff which will support you to get knowledge into the AI and Deep Learning field, with one of the most sought-after experiences. You will discover the support of Deep Learning, know how to create neural networks, and determine how to create strong Deep Learning-based AI designs managing Tensor Flow. You will serve on case studies on network vision, data processing, Image processing, Language analytics - Speech to text / Voice tonality. After the prosperous conclusion of this course, you will understand not only the ideas but also discover how it is implemented in the industry.

  • Fundamentals of Deep Learning
  • Various Deep networks
  • Basics on Neural networks
  • Application of Analytical mathematics on the data
  • Discussion on Back propagation
  • Knowledge on Auto encoders and variation Auto encoders
  • Implement different Regression models

    • Analytics experts or candidates with a prior working experience of Data Science with Python, who are seeing Deep Learning certification to boost their career with the practical purpose of AI Deep Learning with TensorFlow.

    Experience with programming basics and fair understanding of the basics of statics mathematics is necessary.

    Sample Certificate

    Course Curriculum

    Lecture1.1 Introduction to Deep LearningPreview

    Lecture1.2 Necessity of Deep Learning over Machine Learning.

    Lecture1.3 History and evolution of various deep learning algorithms

    Lecture1.4 AI and how is Deep Learning one of the paths to AI in the recent era

    Lecture1.5 Types of Machine Learning and Deep Learning

    Lecture1.6 Why Deep Learning

    Lecture2.1 Working of a Deep Network

    Lecture2.2 What is Perceptron

    Lecture2.3 What is Neuron

    Lecture2.4 Sigmoid neuron

    Lecture2.5 Activation functions

    Lecture2.6 Cost function

    Lecture2.7 Optimization

    Lecture2.8 Dense networks

    Lecture2.9 Regularization

    Lecture2.10 Layered structures

    Lecture2.11 Types of layers

    Lecture2.12 Forward pass

    Lecture2.13 Back propagation - chain rule and evaluation metrics

    Lecture2.14 Gradient Descent

    Lecture2.15 SGD (for a SoftMax classifier example)

    Lecture2.16 Nestorov's momentum

    Lecture2.17 RMSProp

    Lecture2.18 Adam

    Lecture3.5 Sessions

    Lecture3.6 Graphs

    Lecture3.7 Tensorboard

    Lecture3.8 Implementation of a simple Perceptron in TensorFlow

    Lecture3.9 Implementing a simple feed forward Neural Network in TensorFlow Lecture3.10 Various activation functions and their ranges

    Lecture3.11 Pros and cons of Activation functions

    Lecture3.12 Why to use specific activation function

    Lecture3.13 When is the usage of activation function

    Lecture3.14 What are the ones used in industry for specific tasks

    Lecture3.15 Visualization of competition based craft and model results

    Lecture4.1 Introduction to CNN (Convolutional Neural Networks)

    Lecture4.2 Applications of CNN

    Lecture4.3 CNN Architecture

    Lecture4.4 Convolution

    Lecture4.5 Pooling layers

    Lecture4.6 CNN illustrations

    Lecture5.1 Fundamentals of RNN (Recurrent Neural Network)

    Lecture5.2 Applications of RNN

    Lecture5.3 Modelling sequencing

    Lecture5.4 Types of RNNs - LSTM, GRU

    Lectures5.5 Recursive Neural Tensor Network Theory

    Lecture6.1 Introduction of Keras

    Lecture6.2 Understanding of Keras Model Building Blocks

    Lecture6.3 Illustration of different Compositional Layers

    Lectures6.4 Process based use cases’ implementations

    Lecture7.1 Introduction of TFlearn

    Lecture7.2 Understanding of TFlearn Model Building Blocks

    Lecture7.3 Illustration of different Compositional Layers

    Lectures7.4 Step-wise use-cases implementations

    Lecture8.1 ConvNets architecture

    Lecture8.2 Performance evaluations

    Lecture8.3 Hyperparameter search

    Lecture8.4 Auto-monitoring of loss monitoring

    Lecture8.5 Input pre-processing

    Lecture8.6 Productionization of a deep learning pipeline

    Lecture8.7 Cloud workspace set-up for designing a prototype

    Lecture9.1 Application Building

    Lecture10.1 Application Building

    Register Deep Learning Tensorflow Course in BTM
    52, 000 + GST
    45,000 + GST

    (0% Interest on EMI)


    Machine Learning Course

    Upcoming Deep Learning Trainings

    October 12th | Weekends | 12 Weeks | 10:30AM TO 01PM

    October 26th | Weekends | 12 Weeks | 9:30AM TO 01PM

    November 9th | Weekends | 12 Weeks | 10:30AM TO 01PM

    November 23rd | Weekends | 12 Weeks | 9:30AM TO 01PM

    December 14th | Weekends | 12 Weeks | 10:30AM TO 01PM

    December 28th | Weekends | 12 Weeks | 9:30AM TO 01PM

    View All Upcoming Trainings


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    General Question

    We provide deep learning training with advanced methods designed by experienced trainers who are experts in Industries that exactly matches your job profile. We offer a training season for the education with fully-equipped lab with all the needed facilities. Online instructor-led training is also possible if needed. Online training is live and the instructor's shield will be apparent and voice will be clear. Members screen will also be apparent and members can ask questions through the live session.

    With the appearance of great technology influence and an expanding volume of data, common machine learning patterns are not able of providing highly reliable results. The universal machine Learning designs lose all the more when it gets to unstructured information. Deep learning has witnessed a rise in the application is the latest few times, and with modern platforms getting in to deliver it more user-friendly to complete, deep learning is the discussion of the center. This complete course will extensive dive into the importance of neural nets and match it with traditional designs to showcase the walks that deep learning has received over the previous methods.

    It will allow the members to agree with every aspect of neural nets from the very essential. The course has been designed by experts for candidates who would want to see the possible employment of deep learning and not just be supplied with the academic aspects.

    The span of the course has been set for 45 days so that the candidates have sufficient time to perform the activities and experience the Deep Learning ideas in depth. Training will be handled over weekends so working employees can comfortably attend this program.

    Participants will be presented "Deep Learning using Tensorflow"-particular subject material. Candidates will have a record way to all the code and support required for this "Deep Learning using Tensorflow". We developed a material for candidates that helps them to learn after completion of the course and can be used for any doubts while working in companies.

    Our Deep Learning course in Bangalore presents real-time projects including all professional issues to create a wider space in the career platform. The master trainers will explain each idea and make you learn how it operates and a fundamental thought flow of the method. We present hands-on-experience activities and plans that will present practical knowledge of real-word development issues.

    The "Deep Learning using Tensorflow" program changes various factors. Including the former experience of the team on the subject, the intention of the team determining from the program, customization in the course is required among others. Reach us to know more regarding "Deep Learning using Tensorflow" course span.

    NearLearn is one of the best Deep Learning Training Institute in Bangalore that provides hands-on practical knowledge, powerful implementation on real ideas and will ensure the job with the direction of Deep Learning Programs, Near Learn offers Deep Learning education by technical specialists, they hold 8+ years working expertise in top operation.

    Near Learn connected with top companies’ trainers that they will support candidates to get perfect for interviews and relate with real-time case studies to present incompetent conditions. Our deep learning course curriculum is approved by experienced trainers.

    NearLearn taught more than 1500+ applicants with Deep Learning Certification Training in Bangalore at a very reasonable fee. The curriculum is created as per the source of applicants. You will take reading material in the structure of E-Books, Online Video documentation and 500 Interview Questions bringing Project Source stuff.

    Deep Learning Programs courses are possessed on the NearLearn campus in BTM Layout, JP Nagar, Jaya Nagar, Kormangala and Marthahalli except otherwise specified in the course learning.

    Our Deep Learning Training in Bangalore is best and evaluated by top-rated instructors and each trainer is fitted and certified in teaching systems, level, and approach. If you are still unsure about whether a course is best for you, please reach us.

    We produce a comprehensive and self-sustaining system to support our students with the profession. As a pre-requisite for education validation, candidates are required to present the case studies and project work performed as a part of the curriculum. Support from our side is endless and involves advice in profile composition, CV referrals within our previous learners.

    No Need to bother about the absent periods, that NearLearn presents recording documents through video form, or we will prepare to reschedule the desired classes as per your adaptable timing with other groups.

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