Keras Functional Model | How to build non-linear Neural Networks?
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- Опубликовано: 6 июл 2024
- The Keras functional API is a way to create models that are more flexible than the Sequential API. The functional API can handle models with non-linear topology, shared layers, and even multiple inputs or outputs.
The main idea is that a deep learning model is usually a directed acyclic graph (DAG) of layers. So the functional API is a way to build graphs of layers.
Codes:
colab.research.google.com/dri...
colab.research.google.com/dri...
colab.research.google.com/dri...
Dataset Link:
www.kaggle.com/datasets/jange...
Blog:
machinelearningmastery.com/ke...
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⌚Time Stamps⌚
00:00 - Intro
00:48 - The Problem with Sequential Model
07:35 - A Simple Example
09:01 - Code Implementation
15:29 - Complex Examples
17:56 - Multi Output Model
24:35 - Machine Learning Mastery Blog Post
Sir I would say you really made us understand the topic very well . Sir do try to upload a project regarding this as soon as possible because this is a fascinating topic to master.
thank you!
sir app ye share krne ko kehte ho per apki videos itni achi hoti he na selfish ho jane ko mn karta he 😊
I've completed all of your 100days of ml and continuing this playlist and joined dsmp2.O you are mind-blowing sir ❤
Thank you!
thank u so much sir for everything.once in my life i will definately meet you sir .
THANKU SIR FOR EVERYTHING .Sir once in my life I will definately meet you.Thank u so much sir
The amount of love and respect for you Sir is so huge. We are so blessed and lucky. Thank you so much Sir.
Very good content and explanation. Explained Functional Model API very well.
Thank u so much sir. I got the crux behind linear and non-linear neural networks and their usecases very clearly. Thank u so much sir😊
This was the very facinating learning .. In each vedio , I am learning each time very facinating which making me very happy
Thank you nitish sir..
Hello sir, I would like to express my appreciation for your exceptional teaching method. Your teaching style is truly commendable. I do have a question regarding the propagation of errors to the hidden network when there are multiple output layers. Could you please explain how errors are propagated under such circumstances?
Simply beautiful
Thank you sir for this clear explanation.
Thank You Sir.
Please finish tensorboard and callbacks ...NLP advance,python 100 days ,feature selection,xgboost catboost in ML ,and if possible srart mlops
Sir please announce expected date of mentorship program
Eagerly waiting for this
Explained easily , thanks Nitesh
You deserve millions of views and subscribers...
Best sir and best video ever!
Thank you sir.this is really useful.kindly make a video on ML system design.
Amazing...Thanks!!!!
nice explanation
Great Content :)
best
maja aa gaya 🥰🥰🥰🥰
Hey can you upload video on Tensorflow Subclassing API? Custom Models, Custom Layers, Custom Losses & Custom Training Loops? I have trouble understanding it clearly...
Hello sir ,
Could you please share some resources to get hands dirty with tensor flow keras and pytorch
👍👍👍
at 14:56 can someone tell that how to name your layers of model as custom names. as you can see in plot they are linearly named as corresponding type of layers but i dont want it.
i want to also name my blocks of model. lets say one block have conv1 , conv2 than max pool. i want to name it block1 and further name each layer of block a custom desired name.
Sir, how to animal Trapp camera Photographs automatic classify and move to folder. Please
👍👍
Sir please complete this Deep learning playlist and then start advanced NLP pls sir..
complete playlist plzz
model.fit(train_generator, batch_size=32, epochs=10, validation_data=test_generator) For this line, I'm getting the error:-
TypeError: `output_signature` must contain objects that are subclass of `tf.TypeSpec` but found which is not.
How to add nlp in mongodb database
Hi Sir
if someone or sir if you see my comment please reply for this
how the weights will get update if we have two loss then based on which loss weights will get updated
or is it like for every loss weights get updated respectively then we take average of weights please clarify bit confused
Can we do this nonlinear topology modelling in PyTorch??
Sir mentorship program kab??
completed till now the full playlist
Kaisa laga Tanmay?
@@campusx-official just awesome
@@campusx-official i would like to request please upload videos asap on object detection and end to end projects too
Hello Sir, plz explain XGBM classification
You should always tell at the start and end of video about like and share..
I do not understand 60% of words. Other 40% are definitely English words. Is it my problem or author use some other language?
He is speaking Hindi and English that's why you don't Understand what he's saying
bro how did you became so old?
Didn't quite listen to everything, I don't think some words are even English.
Thank you!