What you Will study ?
- Finish-to-end data of TensorFlow
- TensorFlow ideas, growth, coding, purposes
- TensorFlow parts & pipelines
- TensorFlow examples
- Introduction to Python, Linear Algebra, Matplotlib, NumPy, Pandas
- Introduction to Recordsdata
- Introduction to Machine Learning
- TensorFlow Playground & Perceptrons
- TensorFlow and Synthetic Intelligence
- Constructing Synthetic Neural Networks (ANN) with TensorFlow
- Sorts of ANN and Elements of Neural Networks
- TensorFlow Classification and Linear Regression
- TensorFlow vs. PyTorch vs. Theano vs. Keras
- Object Identification in TensorFlow
- TensorFlow Superkeyword
- CNN & RNN, RNN Time Collection
- TensorBoard – TensorFlow’s visualization toolkit
TensorFlow is an end-to-end open-source machine studying / deep studying platform. It has a complete ecosystem of libraries, instruments, and group sources that lets AI/ML engineers, scientists, analysts construct and deploy ML-powered deep studying purposes. The title TensorFlow is derived from the operations which neural networks carry out on multidimensional information arrays or tensors. Deep studying is a subfield of machine studying that could be a set of algorithms that’s impressed by the construction and performance of the mind.
TensorFlow is a machine studying framework that Google created and used to design, construct, and practice deep studying fashions. You should use the TensorFlow library do to numerical computations, which in itself doesn’t appear all too particular, however these computations are carried out with information circulate graphs. In these graphs, nodes characterize mathematical operations, whereas the perimeters characterize the info, which often are multidimensional information arrays or tensors, which can be communicated between these edges.
In easy phrases, TensorFlow is an open-source and hottest deep studying library for analysis and manufacturing. TensorFlow in Python is a symbolic math library that makes use of dataflow and differentiable programming to carry out varied duties centered on coaching and inference of deep neural networks. TensorFlow manages to mix a complete and versatile set of technical options with nice ease of use.
There have been some exceptional developments recently on the earth of synthetic intelligence, from a lot publicized progress with self-driving vehicles to machines now composing imitations or being actually good at video video games. Central to those advances are quite a few instruments round to assist derive deep studying and different machine studying fashions, with Torch, Caffe, and Theano amongst these on the fore. Nevertheless, since Google Mind went open supply in November 2015 with their very own framework, TensorFlow, the recognition of this software program library has skyrocketed to be the preferred deep studying framework.
TensorFlow allows you to construct dataflow graphs and buildings to outline how information strikes via a graph by taking inputs as a multi-dimensional array referred to as Tensor. It permits you to assemble a flowchart of operations that may be carried out on these inputs, which matches at one finish and comes on the different finish as output.
Prime organizations comparable to Google, IBM, Netflix, Disney, Twitter, Micron, all use TensorFlow.
Uplatz supplies this intensive course on TensorFlow. This TensorFlow course covers TensorFlow fundamentals, parts, pipelines to superior subjects like linear regression, classifier, create, practice and consider a neural community like CNN, RNN, auto encoders and so forth. with TensorFlow examples.
The TensorFlow coaching is designed in such a method that you just’ll be capable to simply implement deep studying mission on TensorFlow in a simple and environment friendly method. On this TensorFlow course you’ll study the basics of neural networks and the best way to construct deep studying fashions utilizing TensorFlow. This TensorFlow coaching supplies a sensible method to deep studying for software program engineers. You’ll get hands-on expertise constructing your personal state-of-the-art picture classifiers and different deep studying fashions. You’ll additionally use your TensorFlow fashions in the actual world on cellular gadgets, within the cloud, and in browsers. Lastly, you’ll use superior methods and algorithms to work with massive datasets. You’ll purchase abilities obligatory to start out creating your personal AI purposes and fashions.
You’ll grasp deep studying ideas and fashions utilizing TensorFlow frameworks and implement deep studying algorithms, making ready you for a profession as Deep Learning Engineer. Learn to construct a neural community and the best way to practice, consider and optimize it with TensorFlow.
TensorFlow is totally based mostly on Python. This course additionally supplies a sound introduction to Python programming ideas, NumPy, Matplotlib, and Pandas so to purchase these abilities on this course itself earlier than shifting on to study the TensorFlow ideas. The goal of this TensorFlow tutorial is to explain all TensorFlow objects and technique.
This TensorFlow course additionally features a complete description of TensorBoard visualization instrument. You’ll acquire an understanding of the mechanics of this instrument by utilizing it to unravel a normal numerical drawback, fairly exterior of what machine studying often entails, earlier than introducing its makes use of in deep studying with a easy neural community implementation.
TensorFlow structure works in three components:
It’s referred to as TensorFlow as a result of it takes enter as a multi-dimensional array, also referred to as tensors. You possibly can assemble a kind of flowchart of operations (referred to as a Graph) that you just wish to carry out on that enter. The enter goes in at one finish, after which it flows via this technique of a number of operations and comes out the opposite finish as output.
That is why it’s referred to as TensorFlow as a result of the tensor goes in it flows via a listing of operations, after which it comes out the opposite aspect.
TensorFlow – Course Syllabus
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