Deep Learning using Tensorflow Training
Deep Learning using Tensorflow Course:
Deep Learning is one of those technologies which promises to change the world & it's not too late to announce that it has already started. This deep learning course conducted in Hyderabad & many other places are designed in such a way that you no longer will be a viewer of this change, rather be a part of it. This deep learning training program starts from fundamental aspects of deep learning & goes till deployment. Right from creating deep learning business problem to data wrangling to pre-processing followed by model training all the aspects will be covered. Projects are an integral part of this deep learning training program & regular hackathons are conducted in Hyderabad. For other places, online hackathons are conducted. We have also conducted corporate deep learning training with assessment at many of our client office locations as a part of our continuous engagement. Focus is given on the stats, maths as well as making developers production-ready. Some of the projects we do as a part of deep learning course include - credit risk, sales prediction, data mining, healthcare projects, insurance predictions, cloth design pattern, text analysis for a named entity, image classification, sentiment analytics, time series and many more. Graded assignments are an integral part of the deep learning course. After completion of this deep learning training program, a certification provision is also there. This certification is accredited by different companies & candidates who have cleared this is absorbed after a few screening rounds by the companies. This deep learning course is updated every alternative month as per input from different corporate. Our services are present all over India majorly covering notable cities like Bangalore, Hyderabad, Kolkata, Kochi, Chennai, Delhi, Mumbai, Gurgaon, Noida and also in most of the non-major cities. Write to us if training is needed [email protected] Some of our clients are - GE - Hyderabad, IBM - Hyderabad, Pune, Kolkata, Infosys - Hyderabad, Epsilon - Hyderabad, TCS - Hyderabad, Emerson - Hyderabad & Many more
Deep Learning using Tensorflow Course Curriculum
Introduction to Deep Learning
Introduction to Tensorflow and Keras
Solution of Equations, row and column Interpretation
Partial Derivative of Polynomial and Two conditions for Local Minima
Matrix Vector Multiplication
Linear Independence and Rank of Matrix
Intuition behind Linear Regression, classification
Gradient Descent
Metrics ROC Curve, Precision Recall Curve
Evolution of Perceptrons, Hebbs Principle, Cat Experiment
Tensorflow Code
Back propagation, Dynamic Programming
Function Approximator
Dropout and Activation
1D and 2D Convolution
Convolution Layer
Learning Sharpening using single convolution Layer in Tensor-Flow
Convolution
Activation
Batch Normalization
Creating Batch in Tensorflow and Normalize
Understanding a pre-trained Inception Architecture
Finetuning last layers of CNN Model
Adding a new class in the last Layer
Finetune Imagenet for Cats vs Dog Classification.
Different types of problem in Objects
Fast RCNN
YOLO v1-v3
MobileNet
Image Compression Simple Autoencoder
Variational Autoencoder and Reparematrization Trick
Evolution of Recurrent Structures
Learning a Sine Wave using RNN in Tensorflow
Generative vs Discrimative Models
Simple Distribution Generator in Tensorflow using MCMC (Markov Chain Monte Carlo)
InfoGANs, CycleGANs and Progressive GANs
Model Free Prediction
Model Free Control with REINFORCE and SARSA Learning
Off policy vs On Policy Learning
Q Learning
Understanding Deep Learning as Function Approximator
Revisiting Point Collector Example in Unity and
Face Detection using Yolo-v3
Real-time Depth Prediction and Pose Estimation
Tips and Tricks for scaling and easy Deployment of Deep Learning Models
Frequently Asked Questions
This "Deep 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 "Deep Learning using Tensorflow"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Deep 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 "Deep Learning using Tensorflow" training.
The "Deep 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 "Deep Learning using Tensorflow" course duration.
The "Deep Learning using Tensorflow" training is organised at the client's premises. We have delivered and continue to deliver "Deep 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 "Deep Learning using Tensorflow" course.
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