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

Windows Machine (Windows 7 or Above) /Linux Machine
Only 64 Bit
8 GB RAM
NVIDIA Graphics Card (Recommended)

Fee	INR 10,000/- including all Tax and Services
Duration	20 Hours Hand On Training
Mode of Training	Online 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

Anshu Pandey

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