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DEEP LEARNING

DEEP LEARNING

“A little Learningis a dangerous things;

Drink Deep,or taste not the Pierian Spring”

DEFINITION

Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.

WHY TO LEARN DEEP LEARNING

The Deep Learning program offers you a solid introduction to the world of artificial intelligence. In this program, you’ll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial, new, AI-powered future for our world. You will study cutting-edge topics such as Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, and Network Deployment, and build projects in PyTorch and NumPy. You’ll learn from authorities such Ian Goodfellow and Jun-Yan Zhu, inventors of types of generative adversarial networks, as well as AI experts, Sebastian Thrun and Andrew Trask. For anyone interested in this transformational technology, this program is an ideal point-of-entry.

“Start learning with Global Graduation and have successfull future.
we are happy to create better engineering world.”

PREREQUISITES

Before starting this Deep Learning training have a idea about prerequisties . In order to succeed in this program, we recommend having intermediate experience with Python or at least 40hrs of programming experience using libraries like NumPy and pandas, and basic knowledge of probability will be helpful. You’ll also need to be familiar with calculus (multivariable derivatives) and linear algebra (matrix multiplication). If you’d like to refresh your skills for this program, we suggest the AI with Python Nanodegree program.

CURRICULUM

Introduction to C++

Neural Networks

INTRODUCTION TO NEURAL NETWORKS

IMPLEMENTING GRADIENT DESCEN

TRAINING NEURAL NETWORKS

SENTIMENT ANALYSIS

DEEP LEARNING WITH PYTORCH

Convolutional Neural Networks

CLOUD COMPUTING

CONVOLUTIONAL NEURAL NETWORK

CNNs IN PYTORCH

WEIGHT INITIALIZATION

AUTOENCODERS

TRANSFER LEARNING IN PYTORCH

DEEP LEARNING FOR CANCER DETECTION

Recurrent Neural Networks

RECURRENT NEURAL NETWORKS

LONG SHORT-TERM MEMORY NETWORK

IMPLEMENTATION OF RNN & LSTM

HYPERPARAMETERS

EMBEDDINGS & WORD2VEC

SENTIMENT PREDICTION RNN

Generative Adversarial Networks

GENERATIVE ADVERSARIAL NETWORK

DEEP CONVOLUTIONAL GANS

PIX2PIX & CYCLEGAN

Deploy a Sentiment Analysis Model

INTRODUCTION TO DEPLOYMENT

DEPLOY A MODEL

CUSTOM MODELS & WEB HOSTING

MODEL MONITORING

UPDATING A MODEL

COURSE COMPLETION BENEFITS

Industry recognized course completion certificate

Networking over different corporates

Internship Training

Valued and recognized certificate for every individual only after completion of course.

We service by Hiring networking over many companies.

After completions of courses students are send to Intenship Training with MNC with stipen

Our corporate partners

FAQ

Why should I enroll?

In this program, you’ll VB.NET fundamentals that will prepare you to launch or advance a career, and additionally pursue further advanced studies .You will study cutting-edge topics . You will learn from experts in the field, and gain exclusive insights from working professionals.

How do I enroll in the course?

*Click on the "Enroll Now" button on the top of the page. Then select the suitable package for yourself. Then you will be asked to complete the necessary payment. Once you complete the process, you automatically get enrolled for the course.

What are the modes of payments available?

You can make the due payment via netbanking, debit cards, credit cards or online wallet.

What happens after I complete the payment for the course?

You will receive an email confirming the success of subscription and welcoming you to the course. You will be asked to join a learning group on Global Graduation corresponding to the course that you have opted.

I am unable to enroll for course .Whom should I contact?

Don’t worry guys, Send a mail to globalgraduation.org@gmail.com, or call us 999444828,8122666000