TensorFlow Training

Our CEO, Chander Dhall, became fascinated with machine learning over a decade ago. Having a masters in computer science, he has always kept up with academia even though the company primarily works on projects for mid and large size Fortune 500 corporations. Having been awarded by both Microsoft (Microsoft Most Valuable Professional for close to a decade) and Google (Google Developer Expert), he has been fortunate to interact with and share knowledge with the ones who create these technologies.

Since Cazton is a big supporter of open source, we have experts who have contributed to open source machine learning libraries as well as data engineering libraries. Our team consists of experts who not only have PhDs as well as Masters' degrees in data science and machine learning and are Open Source contributors who have created their own ML libraries, they also have years of experience in the industry. That's one reason our team has been working on serious machine learning projects long before any of our competitors. Machine learning projects require serious understanding of data. Cazton data scientists with years of successful experience in the industry have worked in multiple business domains. Our machine learning experts not only evaluate the data, but are adept at all facets of data engineering. If you are serious about doing machine learning right, please check out our expert machine learning team of PhDs, as well as Microsoft-awarded Most Valuable Professionals and Google Developer Experts.

The great news is that these experts do the training for you. We are also one of the very few companies that offer flexible trainings. For example, if you want to learn machine learning, but also want to learn data engineering and data science we can do that for you. If you want to learn TensorFlow, but also want to learn Scala, Hadoop, Ignite, Kafka and related technologies we can do that for you. Some examples include Numpy, Keras, Scipy, Sci-kit, Theano, Torch, Caffe, etc.

Below is a sample curriculum, which can be modified as needed to suit your needs. Contact us today to learn more.

Introduction
Historical developments
Practical Uses
Machine Learning vs Artificial Intelligence
Machine Learning vs Deep Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning

Classification
Regression
Clustering
Density Estimation
Reduction of dimensionality

Linear Regression
Naïve Bayes
Random Tree

Introduction to Neural Networks
Classical architecture
Activation functions
The perceptron learning algorithm
Binary classification with the perceptron
Document classification with the perceptron
Limitations of the perceptron
Understanding bias
Depth of a network
Back propagation

Stochastic Gradient Descent
Modeling of a neural network
Approximation of a function
Approximation of a distribution
Data Augmentation
Result Generalization
Regularization
Optimization and Convergence algorithms.

Introduction to vectors
Variables (create, initialize, save and restore)
Data (feed, read and preload)
Training and Test data
Models
Optimizing models

Introduction
Kernel
Feature Map Generation
CNN architectures
Attention Model
Application of a CNN
CNNs for generation
Feature maps for image generation

Introduction
Basic operation of the RNN
Gated Recurrent Units (GRUs)
LSTM (Long Short-Term Memory)
Convergence
Vanishing gradient problems
Prediction of a temporal series
RNN Encoder Decoder
NLP applications
Video Applications

Introduction
Deep Q Learning
Optimization of learning policy
Application of Deep Reinforcement Learning

Nonlinear decision boundaries
Feedforward ANNs
Feedback ANNs
Multilayer Perceptron
Forward Propagation
Back Propagation
Minimizing the cost function
Improving the neural networks

Threading and Queues
Distributed TensorFlow
Writing Documentation and Sharing your Model
Customizing Data Readers
Manipulating TensorFlow Model Files

Introduction
Basic Serving Tutorial
Advanced Serving Tutorial
Serving Inception Model Tutorial

Cazton has TensorFlow Consultants and Trainers who can provide expert guidance and training as per your organization's needs. Over the years, Cazton has expanded into a global company servicing client's not only across the United States, but in Europe and Canada as well. In the United States, we provide our TensorFlow Consulting and Training Services across various cities like Austin, Dallas, Houston, New York, New Jersey, Irvine, Los Angeles, Denver, Boulder, Charlotte, Atlanta, Orlando, Miami, San Antonio, San Diego and others. Our Experts remain committed to the vision of transforming our clients and their team by providing the best training experience. Contact us today to learn more about what our experts can do for you.