Accelebrate's Machine Learning with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retrieve
TensorFlow and Keras Training Overview
Accelebrate's Machine Learning with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retrieve model predictions.
Objectives
Understand the necessary technical requirements for developing a TensorFlow-powered application
Gain knowledge on different deep learning architectures and start to develop an intuition on what to chose for your problem
Experiment with different deep learning algorithms
Train and evaluate the performance of deep learning models
Combine your model with Flask to create an HTTP API that returns model predictions
Prerequisites
All students should have programming experience, familiarity with Python 3, and basic knowledge of web-applications (i.e., how the HTTP protocol works). Knowledge of the following topics are useful, but not required:
Machine learning concepts such as the bias and variance tradeoff, and accuracy estimation methods
Familiarity with other machine learning algorithms such as Support Vector Machines, Adaptive Boosting (a.k.a. "AdaBoost"), Naïve Bayes, and Logistic Regression
Knowledge of statistics, probability, linear algebra, and calculus
Experience with data-provisioning systems, including file systems (local and remote) and databases (SQL and NoSQL)
Providing IT training is what Steve has wanted to do since his late teens. In 1990, he had the good fortune to be placed in the first dormitory at Stanford University that had Internet connections in the dorm rooms. Steve's idea of a good time in college was teaching other students how to use email, FTP, and even Gopher (a precursor to the World Wide Web), as well as putting the University's Berlin, Germany campus online during his time living there.
After graduation, Steve worked for a year at a software company before joining an IT training firm in Washington, DC as its second employee in 1995. In the following years, he progressed to Vice President and then President of the firm, which grew to 7 US locations before the bursting of the Dotcom Bubble and 9/11 sharply reversed its fortunes.
In 2002, Steve founded Accelebrate with one laptop and himself as the sole instructor. In the following 20 years, Accelebrate has grown to consistently deliver more than 1,000 days/year of private training for clients, with classes delivered in-person and online for attendees from every US state, every Canadian province, and more than 30 countries.
At the end of 2022, Accelebrate joined Web Age Solutions and the Axcel family of education companies to drive the next chapter in its growth.
At Accelebrate, we are:
Inclusive
In a world of constant technological, business, and societal change, Accelebrate intentionally builds engagement and opportunity for its clients, employees, and business partners worldwide.
We promote ongoing learning and openness, celebrate diverse people and points of view, strive for equity in all our relationships, and include everyone in the pursuit of knowledge and growth.
Respectful
Accelebrate respects our clients' training needs and carefully adapts classes to meet them.
We listen carefully to the true needs of our clients and make recommendations in their best interests.
We treat all people (clients, employees, and business partners) with respect, regardless of differences.
Our respect for others makes us receptive to feedback and ensures we continuously improve.
In interactions with clients, instructors, and each other, we convey our concern and interest in the other person.
Rigorous
We strive to be the best training firm our clients hire in terms of instructional quality, flexibility, ease of logistics, attention to detail, and timeliness of communication.
We strive to be the best training firm for which our instructors work while simultaneously holding them to high standards for how they teach and treat our clients and staff.
Responsive
We feel a sense of urgency on any matters related to our clients.
We own problems, resolve them in a timely manner, and make commitments with care.
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