TensorFlow Training Courses

TensorFlow Training

TensorFlow is an open source software library for deep learning.

TensorFlow Course Outlines

Code Name Duration Overview
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example 28 hours This course will give you knowledge in neural networks and generally in machine learning algorithm,  deep learning (algorithms and applications). This training is more focus on fundamentals, but will help you choosing the right technology : TensorFlow, Caffe, Teano, DeepDrive, Keras, etc. The examples are made in TensorFlow. TensorFlow Basics  Creation, Initializing, Saving, and Restoring TensorFlow variables  Feeding, Reading and Preloading TensorFlow Data  How to use TensorFlow infrastructure to train models at scale  Visualizing and Evaluating models with TensorBoard   TensorFlow Mechanics  Inputs and Placeholders  Build the GraphS o Inference o Loss o Training  Train the Model o The Graph o The Session o Train Loop  Evaluate the Model o Build the Eval Graph o Eval Output   The Perceptron  Activation functions  The perceptron learning algorithm  Binary classification with the perceptron  Document classification with the perceptron  Limitations of the perceptron   From the Perceptron to Support Vector Machines  Kernels and the kernel trick  Maximum margin classification and support vectors   Artificial Neural Networks  Nonlinear decision boundaries  Feedforward and feedback artificial neural networks  Multilayer perceptrons  Minimizing the cost function  Forward propagation  Back propagation  Improving the way neural networks learn   Convolutional Neural Networks  Goals  Model Architecture  Principles  Code Organization  Launching and Training the Model  Evaluating a Model
tf101 Deep Learning with TensorFlow 21 hours TensorFlow is a 2nd Generation API of Google's open source software library for Deep Learning. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system. Audience This course is intended for engineers seeking to use TensorFlow for their Deep Learning projects After completing this course, delegates will: understand TensorFlow’s structure and deployment mechanisms be able to carry out installation / production environment / architecture tasks and configuration be able to assess code quality, perform debugging, monitoring be able to implement advanced production like training models, building graphs and logging Machine Learning and Recursive Neural Networks (RNN) basics NN and RNN Backprogation Long short-term memory (LSTM) TensorFlow Basics Creation, Initializing, Saving, and Restoring TensorFlow variables Feeding, Reading and Preloading TensorFlow Data How to use TensorFlow infrastructure to train models at scale Visualizing and Evaluating models with TensorBoard TensorFlow Mechanics 101 Prepare the Data Download Inputs and Placeholders Build the Graph Inference Loss Training Train the Model The Graph The Session Train Loop Evaluate the Model Build the Eval Graph Eval Output Advanced Usage Threading and Queues Distributed TensorFlow Writing Documentation and Sharing your Model Customizing Data Readers Using GPUs¹ Manipulating TensorFlow Model Files TensorFlow Serving Introduction Basic Serving Tutorial Advanced Serving Tutorial Serving Inception Model Tutorial ¹ The Advanced Usage topic, “Using GPUs”, is not available as a part of a remote course. This module can be delivered during classroom-based courses, but only by prior agreement, and only if both the trainer and all participants have laptops with supported NVIDIA GPUs, with 64-bit Linux installed (not provided by NobleProg). NobleProg cannot guarantee the availability of trainers with the required hardware.
dlv Deep Learning for Vision 21 hours Audience This course is suitable for Deep Learning researchers and engineers interested in utilizing available tools (mostly open source ) for analyzing computer images This course provide working examples. Deep Learning vs Machine Learning vs Other Methods When Deep Learning is suitable Limits of Deep Learning Comparing accuracy and cost of different methods Methods Overview Nets and  Layers Forward / Backward: the essential computations of layered compositional models. Loss: the task to be learned is defined by the loss. Solver: the solver coordinates model optimization. Layer Catalogue: the layer is the fundamental unit of modeling and computation Convolution​ Methods and models Backprop, modular models Logsum module RBF Net MAP/MLE loss Parameter Space Transforms Convolutional Module Gradient-Based Learning  Energy for inference, Objective for learning PCA; NLL:  Latent Variable Models Probabilistic LVM Loss Function Detection with Fast R-CNN Sequences with LSTMs and Vision + Language with LRCN Pixelwise prediction with FCNs Framework design and future Tools Caffe Tensorflow R Matlab Others...
tfir TensorFlow for Image Recognition 28 hours This course explores, with specific examples, the application of Tensor Flow to the purposes of image recognition Audience This course is intended for engineers seeking to utilize TensorFlow for the purposes of Image Recognition After completing this course, delegates will be able to: understand TensorFlow’s structure and deployment mechanisms carry out installation / production environment / architecture tasks and configuration assess code quality, perform debugging, monitoring implement advanced production like training models, building graphs and logging Machine Learning and Recursive Neural Networks (RNN) basics NN and RNN Backprogation Long short-term memory (LSTM) TensorFlow Basics Creation, Initializing, Saving, and Restoring TensorFlow variables Feeding, Reading and Preloading TensorFlow Data How to use TensorFlow infrastructure to train models at scale Visualizing and Evaluating models with TensorBoard TensorFlow Mechanics 101 Tutorial Files Prepare the Data Download Inputs and Placeholders Build the Graph Inference Loss Training Train the Model The Graph The Session Train Loop Evaluate the Model Build the Eval Graph Eval Output Advanced Usage Threading and Queues Distributed TensorFlow Writing Documentation and Sharing your Model Customizing Data Readers Using GPUs¹ Manipulating TensorFlow Model Files TensorFlow Serving Introduction Basic Serving Tutorial Advanced Serving Tutorial Serving Inception Model Tutorial Convolutional Neural Networks Overview Goals Highlights of the Tutorial Model Architecture Code Organization CIFAR-10 Model Model Inputs Model Prediction Model Training Launching and Training the Model Evaluating a Model Training a Model Using Multiple GPU Cards¹ Placing Variables and Operations on Devices Launching and Training the Model on Multiple GPU cards Deep Learning for MNIST Setup Load MNIST Data Start TensorFlow InteractiveSession Build a Softmax Regression Model Placeholders Variables Predicted Class and Cost Function Train the Model Evaluate the Model Build a Multilayer Convolutional Network Weight Initialization Convolution and Pooling First Convolutional Layer Second Convolutional Layer Densely Connected Layer Readout Layer Train and Evaluate the Model Image Recognition Inception-v3 C++ Java ¹ Topics related to the use of GPUs are not available as a part of a remote course. They can be delivered during classroom-based courses, but only by prior agreement, and only if both the trainer and all participants have laptops with supported NVIDIA GPUs, with 64-bit Linux installed (not provided by NobleProg). NobleProg cannot guarantee the availability of trainers with the required hardware.

Upcoming Courses

CourseCourse DateCourse Price [Remote / Classroom]
Deep Learning with TensorFlow - Łódź, ul. Tatrzańska 11Mon, 2017-02-06 09:0013900PLN / 5112PLN
TensorFlow for Image Recognition - Zakopane ul. Jagiellońska 30 Mon, 2017-02-06 09:0025020PLN / 8982PLN
Deep Learning for Vision - Gdańsk, ul. Powstańców Warszawskich 45Mon, 2017-02-06 09:0028150PLN / 9580PLN
Neural Networks Fundamentals using TensorFlow as Example - Olsztyn, ul. Kajki 3/1Mon, 2017-02-06 09:0030980PLN / 10388PLN
Deep Learning with TensorFlow - Wrocław, ul.Ludwika Rydygiera 2a/22Mon, 2017-02-06 09:0013900PLN / 4812PLN

Other regions

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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Angular JavaScript Poznan, Garbary 100/63 Mon, 2017-01-23 09:00 7425PLN / 3275PLN
Container management with Docker Zielona Góra, ul. Reja 6 Mon, 2017-01-23 09:00 8910PLN / 3720PLN
Comprehensive Git Kraków, ul. Rzemieślnicza 1 Mon, 2017-01-23 09:00 5841PLN / 3147PLN
Building Web Apps using the MEAN stack Poznan, Garbary 100/63 Mon, 2017-01-30 09:00 14652PLN / 5440PLN
Adobe Photoshop Elements Katowice ul. Opolska 22 Mon, 2017-01-30 09:00 1881PLN / 1327PLN
Psychologiczne aspekty zarządzania zespołem IT – psychologia zespołu Scrum agile Toruń, ul. Żeglarska 10/14 Mon, 2017-02-06 09:00 5742PLN / 2340PLN
Programming in C++ Warszawa, ul. Złota 3/11 Mon, 2017-02-06 09:00 5445PLN / 2815PLN
Visual Basic for Applications (VBA) in Excel (intermediate level) Warszawa, ul. Złota 3/11 Mon, 2017-02-06 09:00 2376PLN / 1192PLN
C#.Net Olsztyn, ul. Kajki 3/1 Mon, 2017-02-06 09:00 25047PLN / 8840PLN
Java Performance Wroclaw, ul.Ludwika Rydygiera 2a/22 Mon, 2017-02-06 09:00 9801PLN / 3000PLN
Creating and managing Web sites Olsztyn, ul. Kajki 3/1 Mon, 2017-02-06 09:00 5841PLN / 2548PLN
Adobe Photoshop Gdynia, ul. Ejsmonda 2 Mon, 2017-02-06 09:00 1881PLN / 1452PLN
Marketing Analytics using R Gdańsk, ul. Powstańców Warszawskich 45 Wed, 2017-02-08 09:00 11880PLN / 5010PLN
Team Building and Management Szczecin, ul. Małopolska 23 Tue, 2017-02-14 09:00 5346PLN / 1569PLN
Microsoft Access - download the data Poznan, Garbary 100/63 Thu, 2017-02-16 09:00 2475PLN / 1225PLN
OCUP2 UML 2.5 Certification - Foundation Exam Preparation Warszawa, ul. Złota 3/11 Mon, 2017-02-20 09:00 7000PLN / 2933PLN
Programming in ASP.NET MVC 5 Gdynia, ul. Ejsmonda 2 Mon, 2017-02-20 09:00 5841PLN / 2673PLN
Working with spreadsheet in Microsoft Excel Szczecin, ul. Małopolska 23 Tue, 2017-02-28 09:00 1485PLN / 995PLN
Introduction to CSS3 Poznan, Garbary 100/63 Wed, 2017-03-22 09:00 1881PLN / 952PLN

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