What did you learn
- Learn how to use TensorFlow 2.0 for deep learning.
- Use the Keras API to build faster models on Tensorflow 2.
- Perform image classification using convolutional neural networks.
- Use of in-depth education for medical images
- Last series data with recurrent neural networks
- Use Generated Advertising Networks (GANs) to create images.
- Use deep learning to transfer style.
- Compose text using RNNs and natural language processing.
- Tensorflow Farms service with API
- Use GPUs for faster learning.
Need
- Learn Python. Programming.
- Some basic mathematical principles such as derivation
Attribute
This course will teach you how to use Google's latest TensorFlow 2 framework to build deep learning artificial neural networks! The purpose of this course is to provide you with an easy-to-understand guide to understanding the complexities of the Google TensorFlow 2 framework.
We will focus on using the Keras API (the official API for TensorFlow 2.0) to understand the latest TensorFlow updates and make the form faster and easier. In this course, we will create models to forecast future home values, classify medical images, forecast future sales data, create artificially complete new text, and much more.
This course is designed to balance theory and practice, with a complete set of codes, easy-to-use notebook guides, slides, and notes. We also have plenty of tips on the way to test your new abilities!
This coursewill covers a variety of topics, including:
NumPy Crash Course
Panda Crash Cycle Data Analysis
Error cycle data visualization
The basis of a neural network
tensorflu. The basics
The fundamentals of black. Syntax
Artificial neural network
Nearest connected network
convolutional neural networks
Neural network manipulation
Automatic encryption
GANs - Generated ad networks
Creating TensorFlow into Production
And much more!
Keras, an easy-to-use machine learning API, will become the standard, centralized, advanced API used for modeling and training. The API makes it easy to get started with Tensor-Flow 2. Most importantly, Keras provides several modeling APIs (Sequential, Functional, and Subclassified) so that you can select the appropriate summary levels for your project. Enhanced implementation of TensorFlow, including faster integration, smarter patching for scalable input lines, and seamless implementation of tf.data.
TensorFlow 2 makes it easy to transfer new ideas from concept to code and prototype to deployment. TensorFlow 2.0 includes some features that allow you to identify and train advanced models without sacrificing speed or performance.
It is used by world-wide companies including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel and of course Google!
Become a profound learning expert today! We will see you in the session!
This course is for anyone:
Python developers are interested in TensorFlow 2 for deep learning and artificial intelligence
Here is the download links
https://www.udemy.com/course/complete-tensorflow-2-and-keras-deep-learning-bootcamp/
https://drive.google.com/file/d/1B1aYLwbusL3MNwGzhsRXnwIobF7WiDFt/view?usp=sharing
* If your in trouble watch the video thanks! *
Torrent software for windows -> Torrent Downloader
you can join over whats app group -> FREE COURSES 2022
