Udemy course Machine Learning and Deep Learning using Tensor Flow & Keras by Dr Aashish Dikshit, PHD(Founder of Lakshmish academy)
Machine Learning and Deep Learning using Tensor Flow & Keras is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download Machine Learning and Deep Learning using Tensor Flow & Keras udemy course.
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- Author: Dr Aashish Dikshit, PHD(Founder of Lakshmish academy)
- Course rating: 3.5
- Category: Development
- Modality: Online
- Status: Available
- Idiom: English
Abouth Dr Aashish Dikshit, PHD(Founder of Lakshmish academy)
Lakshmish academy(Formerly Indira Academy) was found in 2001 with the belief of providing high quality ,in depth courses on Radio diagnosis & Technology, available at affordable price. We strive to serve & change lives by our teaching. We are bunch of Instructors who are Super specialized & Doctorate(PHD) in Computer Science & Data Sciences .We have experience in teaching our subjects for over two decade now .We have helped hundreds of people become champion in the subjects and enabled them to change their lives. Our graduates work at companies like Google, Cisco, and Facebook. The whole effort is for the betterment of students and knowledge sharing. We have been hired to impart the best technical training’s by the companies like GE, Cisco, HP,J P Morgan Chase and Flipkart. We have now focused our time on bringing our classroom teaching experience to an online environment. Join us in this amazing adventure!
What the udemy Machine Learning and Deep Learning using Tensor Flow & Keras course teaches?
What you’ll learn 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 Show more Show less
A-Z Course for Google’s Deep Learning Framework – TensorFlow with Python! Learn to use functions and apply Codes.
More information about the course Machine Learning and Deep Learning using Tensor Flow & Keras
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!