Deep Learning Training In Chennai

Deep Learning - An Overview

Deep Learning is a trending buzzword after Machine Learning and Artificial Intelligence. Considered a subset of these latest technologies, Deep Learning aims to learn from massive data volumes by using artificial neural networks and advanced algorithms similar to the human brain. In short, Deep Learning enables machines to perform repetitive tasks with incredible precision and solve complex problems despite diverse, unstructured and interconnected data.

With Deep Learning on the rise, professionals with expertise in these concepts are in high demand. Aimore Technologies, the best software training institute in Chennai offers Deep Learning Certification which is exclusively designed to help you master the concepts of neural networks, ML algorithms, Deep Learning frameworks, and Artificial Intelligence. Gain profound insights and establish a successful career with Aimore’s Deep Learning courses in Chennai.

Deep Learning 50: Salient Features

Placement Guarantee

Aimore promises 100% placement in leading MNCs, ensuring a successful career trajectory for our Deep Learning 50-course candidates.

Real-World Simulations

Our training includes practical, hands-on lab sessions that replicate real-world scenarios, enabling you to put theory into practice effectively.

Expert Guidance

Learn best practices and build technical skills under the guidance of our accredited instructors. Choose from our flexible in-person or virtual course offerings.

Skill Validation

Enhance your credibility in Deep Learning with our industry-recognized credentials. Achieve your certification virtually with online proctoring or at a dedicated testing centre.

Tailored Learning

Follow a recommended learning plan tailored to a specific domain or job role. Our course structure allows for flexibility, letting you learn at your own pace.

Self-Paced Coursework

We respect your learning rhythm. All our course content is self-paced, offering a comfortable and efficient learning experience.

In-Depth Training

Our course comprises 55 hours of instructor-led training, ensuring comprehensive knowledge of Deep Learning.

Individual Assistance

We offer personalised one-on-one doubt resolution sessions to ensure thorough understanding at every learning stage.

Lifetime Attendance

Enjoy the freedom to attend our Deep Learning batches as many times as you wish, offering you lifetime learning access.

Deep Learning Course Timings

Weekdays	1 hr / day	9 AM to 9 PM	15 Days	ONLINE/OFFLINE	Enrol Now
Weekends	3 hrs	9 AM to 9 PM	3 Weeks	ONLINE/OFFLINE	Enrol Now

Build Your Future With Aimore Technologies

Dive deep into the world of Deep Learning with Aimore’s Deep Learning course in Chennai. Book your seat before time runs out!

A vector image of experts shaking hands illustrates a business agreement.

Eligibility Criteria for Deep Learning

Aimore’s Deep Learning training in Chennai is an excellent way to lay your foundation for a glorious career. Our program is meticulously designed to be accessible and engaging, carefully avoiding any unnecessary programming or mathematical complexities that could weigh down your learning experience.

To gain the most out of our training, it would be best if you have some familiarity with Calculus, Linear algebra, Probability, R, or Python.

Don't worry if you're a newcomer. Our training will have you applying deep learning techniques right from the outset. This means you'll have the chance to develop your knowledge and skills from scratch.

Aimore’s Deep Learning Certification Syllabus

Module - 1

Introduction to Neural Network

Understanding Neural Networks
Operational mechanism of neural networks
Gradients: Descent and Stochastic Descent
Introduction to Perceptron and Multilayer Perceptron
Unpacking BackPropagation

Module - 2

Setting Up Your Deep Learning Environment

A Glimpse into Deep Learning
Local Deep Learning Environment Setup
- Introduction to Tensorflow and its Installation
- Keras Installation Guide
Cloud-Based Deep Learning Environment
- Configuration on AWS
- Configuration on GCP
Running a Tensorflow programme on the AWS platform

Module - 3

Foundations of Tensorflow

Unveiling Tensorflow Placeholders
- How to define and use placeholders?
- Feeding data into placeholders
Variables and Constants in Tensorflow
The Structure of Computation Graph
Visualising Computation Graph using Tensor Board

Module - 4

Activation Mechanisms in Neural Networks

The Role of Activation Functions
Dissecting the Sigmoid Function
Analysing the Hyperbolic Tangent Function
Unpacking ReLu: Rectified Linear Units
Introduction to Softmax Function

Module - 5

Neural Network Training on the MNIST Dataset

Exploring the Intricacies of the MNIST Dataset
Key Hyperparameters and Their Definition
Constructing the Training Model
Mastering the Training Loop
Overfitting vs. Underfitting: Finding the Balance
Constructing Inference from Trained Data

Module - 6

Exploring Word Representation: word2vec

Techniques to Learn Word Vectors
- Preparing the Essential Libraries
- Text Corpus Preparation
- Constructing the word2vec Model
- Model Training Session
- Insights from the Model
Visualising Word Vectors on Tensor Board

Module - 7

Dive into Image Classification: Convolutional Neural Networks (CNN)

A Brief on CNN
Crafting a Simple Convolutional Neural Network
Importance of Pooling Layer in CNN
Creating, Training, and Evaluating CNN
Techniques for Optimising Model Performance

Module - 8

Exploring Popular CNN Architectures

Introduction to the Imagenet Framework
Discovering LeNet Architecture
Details on AlexNet Architecture
The Structure of VGGNet
ResNet Architectural Insights

Module - 9

Understanding Recurrent Neural Networks (RNN)

The Essentials of Recurrent Neural Networks
The Recurrent Neuron: A Detailed Look
Deep Dive into Long Short-Term Memory (LSTM)
Grasping Backpropagation Through Time (BPTT)
RNN Implementation using Keras

Module - 10

Sequence Models for Chatbots and NLP

Introducing Sequence-to-Sequence Models
Variations of RNNs: GRUs and LSTMs
Applying RNNs to Character-level Language Modelling
Delving into Natural Language Processing and Word Embeddings
Utilising HuggingFace Tokenisers and Transformer Models for NLP

Module - 11

Classification of Handwritten Characters Using CNN

Implementing Code for Classification
- Gathering Necessary Libraries
- Defining Model Hyperparameters
- Constructing a Simple Neural Network
- CNN and its Convolution Mechanism in Keras
- The Significance of Pooling and Dropout Techniques
- Augmenting Data for Better Results

Download Syllabus

Exclusive Benefits of

Aimore’s Deep Learning Certification

Specialist Guidance

World-class training based on real-world ideas delivered by subject matter specialists.

Skilful Mentorship

Hands-on Labs led by Certified Trainers who provide real-time guidance and help you master new skills in no time.

Innovative Workshops

Instructor-led sessions, workshops, lectures, and hands-on labs will help attendees explore ways to develop solutions with deep learning concepts.

Expert Guidance

Complete course guidance by our experienced faculty and working professionals from top-notch companies. They share their experience on how they handled specific tasks in their organisations.

Comprehensive Preparation

Comprehensive training program to prepare you to handle all the challenges in this field.

Recruitment Assistance

Interviews with the best MNCs and IT companies, regular updation of candidate profiles and profile improvements.

Algorithmic Understanding

Holistic understanding of cutting-edge algorithms and applications of Artificial Intelligence.

Learn How to Shape Your Career

Our experts can help you with a free career consultation. Call us for more information about our Deep Learning Certification.

Call Us

Vector image illustrating new ideas & development in MEAN Stack Developer Course.

Deeper Insights Into Deep Learning

What is TensorFlow?

It is an open-sourced library created by Google to build Deep Learning models and numerical computation.

How will Aimore’s Deep Learning training in Chennai benefit me?

Traditional Machine Learning requires a domain expert to identify applied features and reduce data complexity. Deep Learning, however, is more beneficial because the algorithm learns high-level features incrementally and simplifies the process. Deep Learning is also popular because its technical superiority can handle large and complex size data. Aimore’s Deep Learning course in Chennai has many advantages because this technology is the base for many current innovations.

Is your Deep Learning Certification suitable for college freshers?

Of course, our certification course is apt for freshers since it helps you:

Master all Deep Learning concepts and models utilising Tensorflow and Keras
Familiarise yourself with basic and language neural network concepts.
Understand PyTorch, autoencoders and implement Deep Learning algorithms.
Lay a foundation for a bright career in Deep Learning engineering.

How beneficial is it to choose a career in AI and Deep Learning?

AI and Deep Learning are a potent career combo because:

The adoption and rise of AI is consistently gaining traction.
There is a high demand for trained professionals in this field.

Hence, if you are an AI enthusiast, it is best to make the most of the opportunities that come your way.

What kind of training can I expect from Aimore for Deep Learning?

Aimore’s Deep Learning certification is designed in such a way that you receive adequate practical training along with theoretical knowledge. Our courses have modules that teach the basics and combine intense practical sessions aligning with the current industry challenges.

Deep Learning Training in Chennai