Keras adheres to best practises for lowering cognitive load by providing consistent and straightforward APIs, limiting the number of user activities required for typical use cases, and providing clear and responsive feedback in the event of a user error. Keras is simple to pick up and use as a result of this.
When dealing with unstructured data, deep learning's capacity to process vast amounts of features makes it incredibly strong. Deep learning techniques, on the other hand, may be overkill for simpler tasks because they require access to a large amount of data to be effective.
Machine learning can be thought of as a subset of deep learning. It is a field that is focused on computer algorithms learning and developing on their own. Deep learning uses artificial neural networks, which are supposed to mimic how humans think and learn, as opposed to machine learning, which uses simpler principles.
Keras is a Python-based deep learning API that runs on top of TensorFlow, a machine learning platform. It was created with the goal of allowing for quick experimentation. It's crucial to be able to go from idea to result as quickly as feasible when conducting research.
Learner's Ratings
4.3
Overall Rating
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Reviews
S
Suresh Kumar
5
Hi Sir,
I want a clearity up on these
1. To learn Data Science "Machine learning" is part of it but we have to learn additionally python libraries (panda, numpy, matplotlib) or else in ML enough.
A
Ayush Bharti
4
how can i download the finaldata.csv?
J
Jagannath Mahato
5
Hello Kushal Sir!
Your way of teaching is very good. I thank you from my heart ❤️ that you are providing such good content for free.
M
Muhammad Qasim
5
Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
S
Shafi Akhtar
5
None
A
Aniket Kumar prasad
5
Very helpful and easy to understand all the concepts, best teacher for learning ML.
R
Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
V
VIKAS CHOUBEY
5
very nicely explained
V
Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
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