Manifold AI Learning
With the Deep learning making the breakthrough in all the fields of science and technology, Deep Learning Computer Vision is the field which is picking up at the faster rate where we see the applications in most of the applications out there.
Be it, Facebook’s image tagging feature, Google Photo’s People Recognition along with Scenery detection, Fraud detection, Facial Recognition, We are seeing the Deep Learning Computer Vision Applications out there.
A typical task in Deep Learning Computer vision task will include the methods for acquiring, processing, analyzing and understanding digital images, and extraction of these high–dimensional data from the real world in order to produce numerical or symbolic information, with which we can form decisions.
A typical & basic operation we perform is – Convolution Operations on Images, where we try to learn the representations of the image so that the computer can learn the most of the data from the input images.
In this course,
We will be learning one of the widely used Deep Learning Framework, i.e PyTorch
It is said as,
PyTorch to be Goto Tool for DeepLearning for Product Prototypes as well as Academia.
We are going to prefer learning – PyTorch for these Reasons:
Instructor Details
Courses : 4
Specification: Deep Learning : Computer Vision Beginner to Advanced Pytorch
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10 reviews for Deep Learning : Computer Vision Beginner to Advanced Pytorch
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 7.5 hours |
| Year | 2020 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
Bubele Vakalisa –
The lady is explaining these things in such a free flowing, simple but engaging manner. It helps me though that I viewed many similar courses on this topic. However, I think that if I had encountered her earlier in my learning, I’d have gained a much quicker understanding of the concepts she’s addressing. I especially enjoy how she uses code to illustrate potential pitfalls, such as when she explains how you flatten tensors as you transition from convolutional layers to fully connected ones.
Anand Subramanian –
The purpose of my taking this course is to get a good understanding of Pytorch. This course has helped me move in the right direction.
Clive DaSilva –
Great course, love the exercise at the end of each section
Lokesh –
course structure is excellent. keeping in track with each lesson
Istia budi –
good material
Bhavesh –
best course on Pytorch, its very easy to follow the lessons as the lessons are very well structured
Sangeetha Shetty –
instructor has made the advanced topic learning as very easy.. can say a lot of work has put into creating the best structure for this course
Edward Sanchiaz –
Even though i was knowing how to work with pytorch, the course still helped me to make my foundation stronger. Loved the coding assigments at the end of each video, thats a huge plus point for me. Course structure is very good, covering lot of ground before diving into advanced topics.
Siva Prasad –
best tutorial on pytorch
Prince Naruul –
good course with neat explanations