Deep Learning - Convolutional Neural Networks with TensorFlow
Master Machine Learning and Neural Networks for Data Science and Computer Vision
Created by Lazy Programmer
Explore how to build powerful convolutional neural networks using TensorFlow 2. Gain hands-on experience applying these models to real-world image and text datasets while learning techniques that boost performance and accuracy.
Packt | Feb 2023 | 219 min
What You Will Learn
You will start by understanding the core concepts behind convolution and neural network design. Through a mix of clear explanations and practical coding exercises, you will build and optimize CNNs for various datasets. Along the way, you will experiment with proven methods to enhance your models' performance.
Key Features
- Build and train CNNs in TensorFlow 2 for image and text recognition tasks
- Apply advanced techniques like batch normalization and data augmentation
- Use transfer learning to improve results on complex computer vision problems
Target Audience
Ideal for data scientists, machine learning engineers, or developers with solid Python skills who want to advance their deep learning expertise. If you already know how to build basic neural networks and use libraries like NumPy and Matplotlib, you'll be ready to take your skills to the next level with convolutional networks.
