Machine Learning using Tensorflow Training
Machine Learning using Tensorflow Course:
TensorFlow, in the most general terms, is a software framework for numerical computations based on dataflow graphs. It is designed primarily, however, as an interface for expressing and implementing machine learning algorithms, chief among them deep neural networks. Written in C++ & Python.Train & save/share model for use & re-use.Tensorboard - graph visualization. Tensorflow can work as a backend for Keras. Flexibility - running in all sorts of CPU, GPU etc.
Machine Learning using Tensorflow Course Curriculum
How TensorFlow Works
Using Placeholders and Variables
Declaring Operations
Operations in a Computational Graph
Working with Multiple Layers
Implementing Back Propagation
Combining Everything Together
Using the Matrix Inverse Method
Understanding Loss Functions in Linear Regression
Implementing Elastic Net Regression
Saving variables
Choosing variables selectively to save
Using saved model with estimators
Basic Mechanics
Preprocessing data with Dataset.map()
Training workflows
Introduction
Working with Gates and Activation Functions
Implementing Different Layers
Improving the Predictions of Linear Models
Introduction
Implementing TF-IDF
Working with CBOW Embeddings
Using Doc2vec for Sentiment Analysis
Thread Management
QueueRunner
Introduction
Using Multiple Executors
Taking TensorFlow to Production
Introduction
Debugging with tfdbg
Frequently Asked Questions
This "Machine Learning using Tensorflow" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.
Participants will be provided "Machine Learning using Tensorflow"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Machine Learning using Tensorflow". Our public GitHub repository and the study material will also be shared with the participants.
All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Machine Learning using Tensorflow" training.
The "Machine Learning using Tensorflow" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Machine Learning using Tensorflow" course duration.
The "Machine Learning using Tensorflow" training is organised at the client's premises. We have delivered and continue to deliver "Machine Learning using Tensorflow" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.
Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.
Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.
Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Machine Learning using Tensorflow" course.
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