Deep Learning Using Keras - A Complete and Compact Guide for Beginners
Computer Vision with CNN: Basic Python, Python libraries, Keras Text MLP, VGGNet, ResNet, Custom Model in Colab
Created by Abhilash Nelson
Explore the foundations of deep learning by working with Python and Keras. You'll move from essential programming skills to building and optimizing neural networks for real-world computer vision tasks. Gain practical experience with popular models and hands-on projects using Google Colab.
Packt | Oct 2021 | 574 min
What You Will Learn
You'll start by learning Python basics and key libraries like NumPy and Pandas. Step by step, you'll build neural networks from scratch, understand how each layer works, and experiment with real datasets. Guided examples and hands-on practice will help you master both theory and application.
Key Features
- Analyze and prepare data for deep learning models using Python libraries
- Build and optimize neural networks for text and image data with Keras
- Apply advanced computer vision models like VGGNet and ResNet in Colab
Target Audience
If you have a basic understanding of computers and want to dive into deep learning, this is for you. Ideal for aspiring data scientists or developers looking to build practical skills in neural networks and computer vision, even if you're new to Python or Keras.
