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Deep Learning Basic- Instructor Led Course

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    Anshu Pandey
  • 3677 (Registered)
  • (0 Reviews)

Deep Learning Basic- Instructor Led Course

This course is part of specialization programs

This course can be applied to multiple Specializations or Professional programs. Completing this course will count towards your learning in any of the following programs

Pre-skills/Prerequisites

A learner must have completed Data Science and Machine Learning or Equivalent

 

 

Course Curriculum


Module – 1 – Overview of AI, ML & Deep Learning – 2 Hours

  • Artificial Intelligence & Machine Learning Introduction
  • Computer Vision Overview
  • Applications of Computer Vision
  • Deep Learning Introduction
  • Deep Learning v/s Machine Learning
  • GPU for Deep Learning
  • Applications of Deep Learning
  • Algorithms and use cases in Deep Learning

 

Module 2 – Artificial Neural Networks – 10 Hours

  • Introduction to Neural Networks
  • Working of Neural Networks
  • Mathematical modelling of Neural Networks
  • Architectures of ANN
  • ANN learning process
  • Gradient Descent Algorithm
  • Cost Function formation
  • Python programming example
  • Softmax Classifier & ReLU Classifier
  • Dropout Optimization
  • Mathematics behind backpropagation
  • Deep Neural Networks using Tensorflow
  • Activation Functions for Neural Networks
  • Optimization Techniques – SGD, ADAM, LBFGS
  • Controlling Overfitting
  • Regularization
  • Momentum in Neural Networks
  • Neural Network Tuning and Performance Optimization

 

Module 3 – Working with Tensorflow & Pytorch – 8 Hours

  • Introduction to TensorFlow & keras
  • The Programming Model
  • Data Model, Tensor Board
  • Programming Neural Networks with Tensorflow
  • Working with Pytorch
  • Basics of Pytorch
  • Programming model of Pytorch
  • Building Linear Regression and Logistic Regression with Pytorch
  • Examples and use cases

 

Course Features


  • More than 80% hands-on session
  • Project-oriented learning
  • Cloud-based LMS
  • Experienced Trainer
  • Masterclass for Expert
  • Standard reading materials
  • Study resources
  • Graded Quizzes
  • Real-time case study-based projects
  • Discussion Forum

 

Machine Requirement


  1. Windows Machine (Windows 7 or Above) /Linux Machine
  2. Only 64 Bit
  3. 8 GB RAM 
  4. NVIDIA Graphics Card (Recommended)

 

 

FeeINR 10,000/- including all Tax and Services
Duration20 Hours Hand On Training 
Mode of TrainingOnline Live Instructor-Led Class

 

 

Upcoming Batch Schedule From – 14th Sept 2020, 6:30 PM to 8 PM, IST (Monday to Friday )

Ask for one to one online meeting with our technical expert.

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Instructors

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    A Technical expert and a passionate trainer has expertise in the field of Artificial Intelligence, Machine Learning and IoT, he has a proven work record of delivering more than 100+ workshops and Technical Training in various technologies and domains at the top MNCs, premier organizations including IITs, NITs and other premier educational organizations. He has delivered 50+ corporate Training to clients from India and abroad. Skills- Programming Languages: Python, Arduino, R, MATLAB Scripting Languages: HTML, JS, CSS AI Skills: Machine Learning – Linear & Logistic Regression, Clustering, Artificial Neural Networks, SVM, Genetic Algorithm, Fuzzy Logic, Natural Language Processing, PCA, CNN, LSTM AI, ML Tools & Platforms: Python, Tensorflow, Keras, Azure ML, AWS, Apache Spark Hardware: Arduino, Raspberry Pi, AVR, Intel Edison, Xbee, LoRaWAN IoT Platforms: AWS IoT, Thingworx, ThingsBoard, IBM Watson IoT, ThingSpeak, myDevices, Twilio, node-red, Ubidots, PubNub, IoT Gateway

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