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

• Deep Learning A-Z Course
• Computer Vision Course
• Natural Language Processing Course
• Artificial Intelligence A-Z Course

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)

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

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