Artificial Intelligence and Data Science Engineering

Deep Learning

Rated 5 out of 5

Descriptions

Immerse yourself in the fascinating world of Deep Learning, a cutting-edge field of artificial intelligence that is driving innovations in areas such as image recognition, natural language processing, and autonomous systems. This course offers a deep dive into neural networks, the core of deep learning, enabling computers to simulate the workings of the human brain. You’ll learn how to build, train, and deploy deep neural networks that can perform complex tasks, such as understanding speech, recognizing objects, and making predictions.

Key Points

Duration :30 Hours / 6 Weeks

Duration: 1.5 Hrs

Curriculum

Introduction to Deep Learning

Understand the basics of deep learning and neural networks

Neural Networks Fundamentals

Learn the architecture and functioning of neural networks

Introduction to TensorFlow/Keras

Get familiar with TensorFlow and Keras libraries for building models

Building a Basic Neural Network

Implement a basic neural network using Keras

Introduction to Convolutional Neural Networks (CNNs)

Learn about CNNs and their applications in image processing

Introduction to Recurrent Neural Networks (RNNs)

Understand RNNs and their use cases for sequential data

Model Evaluation and Tuning

Learn techniques for evaluating and tuning deep learning models

Final Project: Deep Learning Model

Apply learned concepts to develop and present a deep-learning model

Bonus: Open CV

Introduction to openCV