Machine Learning and Deep Learning using Tensor Flow & Keras
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Brief Introduction
A-Z Course for Google's Deep Learning Framework - TensorFlow with Python! Learn to use functions and apply Codes.Description
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand and its application .
Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too!
If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path. This is a comprehensive course with very crisp and straight forward intent.
This course covers a variety of topics, including
- Neural Network Basics
- TensorFlow detailed,Keras,Sonnet etc
- Artificial Neural Networks
- Types of Neural network
- Feed forward network
- Radial basis network
- Kohonen Self organizing maps
- Recurrent neural Network
- Modular Neural networks
- Densely Connected Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Machine Learning
- Deep Learning Framework comparisons
There are many Deep Learning Frameworks out there, so why use TensorFlow?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, IBM, Intel, and of course, Google!
Become a machine learning guru today! We'll see you inside the course!
Requirements
- Requirements
- Just some high school mathematics level.
- Some Knowledge of at least one programming language
Knowledge
- Understand the intuition behind Artificial Neural Networks
- Apply Artificial Neural Networks in practice
- Understand the intuition behind Convolutional Neural Networks
- Understand the intuition behind Convolutional Neural Networks
- Understand the intuition behind Recurrent Neural Networks
- Apply Recurrent Neural Networks in practice
- Understand the intuition behind Machine Learning and its applications
- Understand the Deep Learning Frameworks and the performance comparison
- Understand Neural networks Algorithms
- Understand artificial neurons
- Understand the basics of Tensor Flow
- Understand tons of other concepts related to Deep Learning,Machine learning,Convolutional Neural Networks and Tensor Flow
Indra Programmer
2 Raiting
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Machine Learning and Deep Learning using Tensor Flow & Keras
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A-Z Course for Google's Deep Learning Framework - TensorFlow with Python! Learn to use functions and apply Codes. This is a comprehensive course with very crisp and straight forward intent....
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