We prepare you for a role as a tensorflow professional in a corporate setting and help boost your confidence to work in a real environment When you learn Deep learning TensorFlow course you will be getting to know the following in detail covering a range of topics that include Neural Network Basics TensorFlow Basics Artificial Neural Networks Densely Connected Networks Convolutional Neural Networks..
Traditional neural networks will be relying on shallow nets that are composed of one input and one hidden layer with one output layer. Deep Learning networks will be distinguishing then from these ordinary neural networks and they can discover hidden structures within unlabelled and instructed data which is a huge majority of data in the world.TensorFlow is one of the best libraries ever to implem..
When you join this Deep Learning with TensorFlow training course you will be getting to learn the following‚ basic concepts of TensorFlow‚ main functions‚ operations and the execution pipeline‚ how TensorFlow can be used in curve fitting‚ regression‚ classification and minimization of error functions‚ types of Deep Architectures‚ convolutional Networ..
Basic knowledge in frameworks and Knowledge in Python programming is preferrable.
You might already have known what is machine learning by this time which is a branch of computer science that studies the design of algorithms that you are learning now. Now the main focus is on deep learning which is a subsect of machine learning with a set of algorithms that is inspired by the structure and the function of the brain. The algorithms are usually called as neural networks. Deep Learning is one of the hottest fields in data science and there are plenty of case studies too with a huge amount of results in field of image recognition and processing, robotics and AI which is Artificial Intelligence. TensorFlow is famous and said to be a game-changer in the future of AI and google will give everyone the machine learning superpowers using Tensorflow for deep learning with big data.
When you execute the practical�s and you can setup your own library on the machine that can be installed on any OS and you can get the installation guide which can help you to install the required libraries and set up the environment. Would you now like to take google tensorflow course now and gain certification? TensorFlow is the 2nd Generation API of Google�s open source software library that was developed especially for Deep Learning. The system is designed in such as way that it facilitates more research in machine learning and will make it quicker and easy to transition from a research prototype to the main production system.
deep learning with tensorflow course contents
The deep learning tensorflow course will begin with introduction to TensorFlow and an example, linear and non-linear regressions plus logistic regression, activation functions, intro to Convolutional Neural Networks (CNN), CNN history and application usage, intro to Recurrent Neural Networks (RNN). Recursive and recurrent neural tension network models, Long Short-Term memory (LSTM), Unsupervised Learning, Collaborative Filtering with RBM, Autoencoders and Applications, Deep Belief Network.
The tensorflow deep learning online course is self-paced and it can be taken at any time depending on the trainer. The course is mainly intended for seekers who want to use TensorFlow for their Deep Learning projects. After the completion of the course the seekers will get to know the structure and the deployment mechanisms that are used and will be able to carry out installations, architecture tasks, configuration, assess code quality, perform debugging, monitoring and able to implement advanced training models, graphs and logging.
We have plenty of trainers and certification providers who are registered on Benchfolks to provide you with the latest tensorflow deep learning training and there is not exact pre-requisite for the course and you may know statistics and python for starters. The course is mainly targeted for python developers and for data analysts who want to learn cutting edge machine learning techniques and apply them to real life. Even the students who have no prior experience in Python can take a fast track programming course that is enough to cover the python fundamentals for the course and an introduction to neural networks. Enroll with top trainers and start your training online and earn certification.
Curriculum for this Course
- HelloWorld with TensorFlow
- Linear Regression
- Nonlinear Regression
- Logistic Regression
- Activation Functions
- CNN History
- Understanding CNNs
- CNN Application
- Intro to RNN Model
- Long Short-Term memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
- Applications of Unsupervised Learning
- Restricted Boltzmann Machine
- Collaborative Filtering with RBM
- Introduction to Autoencoders and Applications
- Deep Belief Network
Jobs and Placements
Get ready for the corporate world. Take up training from the listed training companies here, and they will ensure offer you placement assistance at the end of the course. Advance your career and become a Deep learning Engineer, Tensorflow Engineer, Tensorflow Developer, Deep learning Lead analyst or Deep learning expert after the training.
Sample Interview Q&A
1.What is Tensorflow?
TensorFlow is a machine learning library created by the Brain Team of Google and made open source in 2015
2.What are Tensors?
Tensors are higher dimensional arrays which are used in computer programming to represent a multitude of data in the form of numbers
3.What are the APIs inside the TensorFlow project?
The API’s inside TensorFlow are still Python-based and they have low-level options for its users such as tf.manual which use to build neural network architecture
4.In machine learning based on TensorFlow, what is more important among the performance or the accuracy of a model?
It depends on the overall experience. Both of them have an equal weightage although accuracy is most important in most of the models.
5.What exactly do you mean by Pruning in a decision tree?
Many times it has been seen that in a cluster the predictive powers are very weak and they need to be removed. This is to cut down the overall complexity of the model or to increase the accuracy. This condition is generally considered as Pruning
The training will be a combination of theoretical and practical on each topic. The trainers will be providing live exposure on projects and give assignments to test your skill sets.
Yes, the trainer will provide you support for any clarification you need in a job.
We have 2 modes of training. Classroom Training & Online training.
All of our online courses are live instructor-led online courses. You will have the ability to interact directly with the trainer and the training is one on one too through an easy-to-use web conferencing tool like GoToMeeting etc.
The course is non-transferable to anyone else other than the person whose details are given while enrolling once the student has started
Yes, you will receive student guides from the trainers.