Python for Deep Learning — Build Neural Networks in Python
Master data science, TensorFlow, artificial intelligence, and neural networks
Created by Meta Brains
Explore the essentials of deep learning using Python, starting from foundational concepts and moving toward building neural networks with TensorFlow and Keras. Gain practical experience applying Python frameworks to real-world AI problems and learn how to build and evaluate neural network models for data science tasks.
Packt | Aug 2022 | 127 min
What You Will Learn
You will start by exploring the core ideas behind deep learning and see how they connect to practical Python code. Step by step, you will work through building models, training neural networks, and using popular frameworks like TensorFlow and Keras. Along the way, you will apply these skills to real data and see how deep learning solves complex problems.
Key Features
- Understand deep learning theory and apply it using Python frameworks
- Build and train neural networks with TensorFlow and Keras
- Make accurate predictions using various regression techniques
Target Audience
Ideal for programmers with basic Python knowledge who want to dive into deep learning and neural networks. If you are a data scientist, analyst, or developer aiming to expand your AI skills and apply them to real-world challenges, you will find the content approachable and directly relevant to your goals.
