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Learn and Resign [Download] Complete Tensorflow 2 and Keras Deep Learning Bootcamp 2022 Udemy Feed for Free With Direct Download Nexus.
Full Tensorflow 2 and Keras Deep Learning Bootcamp Download
Learn to utilise Python for Deep Learning with Google's latest Tensorflow 2 depository library and Keras!
What you'll see
- Determine to use TensorFlow 2.0 for Deep Learning
- Leverage the Keras API to quick build models that keep going Tensorflow 2
- Do Double Classification with Convolutional Neural Networks
- Use Deep Encyclopedism for medical imaging
- Forecast Time Series data with Perennial Neural Networks
- Use Generative Adversarial Networks (GANs) to generate images
- Use deep learning for style transport
- Bring forth text with RNNs and Human language technology
- Serve Tensorflow Models through with an API
- Use GPUs for accelerated deep learnedness
Requirements
- Know how to inscribe in Python
- Some math basics such as derivatives
Description
This course will guide you through how to use Google's current TensorFlow 2 framework to create affected nervous networks for deep learning! This feed aims to give in you an easy to understand steer to the complexities of Google's TensorFlow 2 framework in a sense that is easy to understand.
We'll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0's official API) to quickly and easily build models. In this course we testament build models to forecast future price homes, classify medical images, predict future sales data, get complete new text artificially and overmuch more!
This class is organized to balance theory and serviceable implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also bear plenty of exercises to exam your new skills along the way!
This course covers a variety of topics, including
- NumPy Clash Course
- Pandas Information Analysis Clangour Course
- Information Visualization Crash Course
- Neural net Basics
- TensorFlow Basics
- Keras Phrase structure Rudiments
- Artificial Neural Networks
- Densely Siamese Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- AutoEncoders
- GANs – Procreative Adversarial Networks
- Deploying TensorFlow into Production
- and much Thomas More!
Keras, a easy API standard for machine learning, will be the central elated-story API used to build and train models. The Keras API makes IT easy to have started with TensorFlow 2. Importantly, Keras provides several model-building APIs (Serial, Functional, and Subclassing), so you can choose the right level off of abstraction for your project. TensorFlow's implementation contains enhancements including eager capital punishment, for immediate iteration and intuitive debugging, and tf.data, for building scalable input pipelines.
TensorFlow 2 makes it easy to take new ideas from concept to encrypt, and from model to publication. TensorFlow 2.0 incorporates a number of features that enables the definition and training of state of the artwork models without sacrificing speed or performance
It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Chitter, Uber, SAP, Qualcomm, IBM, Intel, and of flow, Google!
Get ahead a in depth learning guru today! We'll see you inside the course!
Who this course is for:
- Python developers curious in erudition almost TensorFlow 2 for abyssal learning and artificial intelligence
Complete Tensorflow 2 and Keras Broad Learning Bootcamp Absolve Download
Source: https://www.udemy.com/course/complete-tensorflow-2-and-keras-deep-learning-bootcamp/
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