Deep Learning & AI

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Course Fee

₹ 18,000 ₹ 12,000

Course Insides

Level of Course

Beginners to Advance

Duration

3 Months

Classes Mode

ClassRoom|Online

Classes

Weekend(Sat & Sun)

Live Project

3 Lives Project

Exercises

12 Exercises

About the course

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

Who can take up the course?

  • This course is meant for people with at least some programming experience
  • Data Analyst
  • Software Engineer

Benefits

The course is absolutely practical and real-time based on theory material provided in advance.

The sessions are interactive and interesting

All the queries are answered along with guidance on certification

Data Science is greatly in demand. Prospective job seekers have numerous opportunities. It is the fastest growing job on LinkedIn and is predicted to create 11.5 million jobs by 2026. This makes Data Science a highly employable job sector.

Data Science is one of the most highly paid jobs. According to Glassdoor, Data Scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.

Data Science has helped various industries to automate redundant tasks. Companies are using historical data to train machines in order to perform repetitive tasks. This has simplified the arduous jobs undertaken by humans before.

Modules

Why Deep Learning?
What is Deep Learning

What is ANN?
The Neuran
The Activation Functions
How do Neural networks work
Gradient Descent
Stochestic Gradient Descent
Backpropagation
Business Problem Description
Installing Keras
Building an ANN
Practice, Questions and exercise

Evaluating the ANN
Improving the ANN
Tuning the ANN
Practice, Questions and exercise

What is CNN
ReLU Layer
Pooling
Flattening
Full Connection
Softmax & Cross Entropy
Installing Keras
Business Problem Description
Building a CNN
Practice, Questions and exercise

Evaluating the CNN
Improving the CNN
Tuning the CNN
Practice, Questions and exercise

What is the Recurrent Neural?
The vanishing Gradient Problem
LSTMs
Practical Intituation
LSTM’s Variations
Business Problem Description
Building RNN
Practice, Questions and exercise

Evaluating the RNN
Improving the RNN
Tuning the RNN
Practice, Questions and exercise

What is the Boltzmann Machines?
How to build a Boltzmann Machine
An Energy-Based Model(EBM)
Restricted Boltzmann Machine
Contrastive divergence
Deep belief Networks
Deep Boltzmann Machine
Installing PyTorch
Business Problem Description
Building a Boltzmann Machine
Evaluating Boltzmann Machine
Practice, Questions and exercise

What is AutoEncoders?
how to build an AutoEncoder from scratch with PyTorch
Training an AutoEncoder
Overcomplete hidden layers
Sparse AutoEncoders
Denoising AutoEncoders
Contractive AutoEncoders
Stacked AutoEncoders
Deep AutoEncoders
Installing PyTorch
Business Problem Description
Building a AutoEncoder
Evaluating AutoEncoder
Practice, Questions and exercise

What is Reinforcement Learning?
The Bellman Equation
Markov Decision Process (MDP)
Q-Learning Intuition
Temporal Difference
Deep Q-Learning Intuition
Action Selection Policies
Project-Stock Market Trading

Curriculum is empty

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₹ 18,000 ₹ 12,000