Machine Learning and Deep Learning Using Python and TensorFlow
Feb 11, 2021 · Understand the principles and practices of machine learning and deep learning. This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required.
- 4.5/5(24)
Book - Machine Learning and Deep Learning with Python and ... - GitHub
Book - Machine Learning and Deep Learning with Python and TensorFlow By Venkata Reddy Konasani and Shailendra Kadre. Note- Larger datasets (>25MB) are not uploaded here. Please download them from the below google drive link. https://drive.google.com/drive/folders/1vDT5wvQuHg_powtjZCHbOb6FVaaH1K8o?usp=sharing
Machine learning education - TensorFlow
Learn the basics of ML with this collection of books and online courses. You will be introduced to ML and guided through deep learning using TensorFlow 2.0. Then you will have the opportunity to practice what you learn with beginner tutorials.
TensorFlow 2 Tutorial: Get Started in Deep Learning with tf.keras
Aug 2, 2022 · Using tf.keras allows you to design, fit, evaluate, and use deep learning models to make predictions in just a few lines of code. It makes common deep learning tasks, such as classification and regression predictive modeling, accessible …
Tutorials | TensorFlow Core
Sep 19, 2023 · Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.
Introduction to the Python Deep Learning Library TensorFlow
Jul 27, 2022 · In this post, you discovered the TensorFlow Python library for deep learning. You learned that it is a library for fast numerical computation, specifically designed for the types of operations required to develop and evaluate large deep learning models.
Introduction to Deep Learning - Python Programming
Welcome everyone to an updated deep learning with Python and Tensorflow tutorial mini-series. Since doing the first deep learning with TensorFlow course a little over 2 years ago, much has changed. It's nowhere near as complicated to get started, nor do you need to know as much to be successful with deep learning.
Theoretical and Advanced Machine Learning - TensorFlow
In this course from MIT, you will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow.
Natural Language Processing - Deep Learning Models in Python
In this course, you will learn how to apply deep learning models to Natural Language Processing (NLP) tasks using Python. By the end of the course, you will be able to understand and implement cutting-edge deep learning models, including Feedforward Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks, tailored for NLP applications.
Explore Deep Learning: A TensorFlow Python Tutorial | Toptal®
TensorFlow makes implementing deep learning on a production scale a breeze. However, understanding its core mechanisms and how dataflow graphs work is an essential step in leveraging the tool’s power.