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
  • 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
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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: 33 %
₹3,000.00
* including GST
Includes:
  • 29 lessons
  • 1.0 Month access
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