Deep Learning Using Keras

The course will start by covering the fundamentals of Python before progressing to the key Python libraries. Additionally, participants will gain an understanding of the essential CNN layers, including the convolution layer, pooling layer, and fully connected layer.

Created on May 8, 2024 Last updated on May 8, 2024 english

What i will learn?

This course will equip you with the skills and knowledge needed through a series of in-depth modules

Modules for this course

29 lessons 10.0 hours

Modules

29 lessons

Introduction to the course
Introduction
Setting Up Computer
Python Basics
NumPy Basics
Matplotlib Basics
Pandas Basics
Installing Libraries
Artificial Neuron and Neural Network
Activation Functions
Popular Activation Functions
Popular Types of Loss Functions
Popular Types of Optimizers
Popular Neural Network Types
King County House Sales Regression Model
Heart Disease Binary Classification Model
Red Wine Quality Multiclass Classification Model
Digital Image Basics
Image Augmentation
Module-20:Convolutional Neural Network
Module-21:Flowers CNN Image Classification Model
Transfer Learning Using Pretrained Models
VGG16 and VGG19 Prediction
Module-24:ResNet50
Module-25:Transfer Learning Training Flowers Dataset
Module-26:Transfer Learning Flower Prediction
Module-27:VGG16 Transfer Learning Using Google Colab GPU
Module-28:VGG19 Transfer Learning using Google Colab GPU
Module-29:ResNet-50 Transfer Learning using Google Colab GPU

+ View More

Description

Throughout this course, there will be an extensive discussion on the fundamental concepts of artificial neurons and neural networks, including activation functions, loss functions, and optimizers. Additionally, participants will have the opportunity to develop deep learning models for text-based datasets and convolutional neural networks for image-based datasets. Upon completion of the course, students will possess the necessary skills to apply these techniques in their respective projects.

₹~~4,000.00~~
discount: 60 %

₹2,500.00

* including GST

Includes:

29 lessons
1.0 Month access

Other Related Courses

dummy

Deploying Machine Learning Models with Flask for Beginners

In this course, participants will acquire comprehensive knowledge on the most efficient techniques for developing personalized web applications with Flask. …