Deep Learning using Tensorflow-training-in-bangalore-by-zekelabs

Deep Learning using Tensorflow Training

Deep Learning using Tensorflow Course: TensorFlow, By Google is one of the most popular library for deep learning. Keras is high level library for making deep learning development really easy. At zekelabs, we provide a comprehensive 55 hrs program to master deep learning using tensorflow & keras. scikit-learn is pre-requisite for this course. Staring from scratch to develop production ready code is discussed during live instructor led session. CNN, RNN, Autoencoders, GAN are discussed in details. This is completely hands-on course. Deployment on Cloud, Image classification, Text summerization etc. are integral part of course.
Deep Learning using Tensorflow-training-in-bangalore-by-zekelabs
Deep Learning using Tensorflow-training-in-bangalore-by-zekelabs
Industry Level Projects
Deep Learning using Tensorflow-training-in-bangalore-by-zekelabs

Deep Learning using Tensorflow Course Curriculum

Setting up a deep learning environment
Installing Anaconda and libraries
Intuitively building networks with Keras
Tensorflow Basic Operations-A simple example that cover TensorFlow basic operations.
Tensorflow Logistic Regression-Implement a Logistic Regression with TensorFlow.
Tensorflow K-Means-Build a K-Means classifier with TensorFlow.
Understanding the perceptron
Building a multi-layer neural network
Hidden layers and hidden units
Tuning the loss function
Improving generalization with regularization
Tensorflow Simple Neural Network-MNIST
Getting started with filters and parameter sharing
Optimizing with batch normalization
Experimenting with different types of initialization
Applying a 1D CNN to text
Tensorflow Convolutional Neural Network (tf.layers/estimator api)-MNIST
Implementing a simple RNN
Using gated recurrent units (GRUs)
Character-level text generation
Tensorflow Bi-directional Recurrent Neural Network (LSTM)-MNIST
Understanding GANs
Upscaling the resolution of images with Super Resolution GANs (SRGANs)
Tensorflow DCGAN (Deep Convolutional Generative Adversarial Networks)
Augmenting images with computer vision techniques
Localizing an object in images
Scene understanding (semantic segmentation)
Recognizing faces
Analyzing sentiment
Summarizing text
Visualizing training with TensorBoard and Keras
Using grid search for parameter tuning
Comparing optimizers
Adding dropouts to prevent overfitting
Visualizing training with TensorBoard
Freezing layers
Large-scale visual recognition with GoogLeNet/Inception
Leveraging pretrained VGG models for new classes
CIFAR 10 image classification

Frequently Asked Questions

We have options for classroom-based as well as instructor led live online training. The online training is live and the instructors screen will be visible and voice will be audible. Your screen will also be visible and you can ask queries during the live session.

The training on "Deep Learning using Tensorflow" course is a hands-on training. All the code and exercises will be done in the live sessions. Our batch sizes are generally small so that personalized attention can be given to each and every learner.

We will provide course-specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for this "Deep Learning using Tensorflow" through our GitHub account and the study material that we share with you. You can use that for quick reference

Feel free to drop a mail to us at [email protected] and we will get back to you at the earliest for your queries on "Deep Learning using Tensorflow" course.

We have tie-ups with a number of hiring partners and and placement assistance companies to whom we connect our learners. Each "Deep Learning using Tensorflow" course ends with career consulting and guidance on interview preparation.

Minimum 2-3 projects of industry standards on "Deep Learning using Tensorflow" will be provided.

Yes, we provide course completion certificate to all students. Each "Deep Learning using Tensorflow" training ends with training and project completion certificate.

You can pay by card (debit/credit), cash, cheque and net-banking. You can also pay in easy installments. You can reach out to us for more information.

We take pride in providing post-training career consulting for "Deep Learning using Tensorflow".

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