Image Classification model VGG16 from scratch | Computer Vision with Keras p.7

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We will see how to make the VGG16 model from scratch with Keras, I will enter all the steps until we arrive at the result with Keras.

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I can’t believe you’re doing this for free. You’re a legend

ghaithalmasri

I really love the playlist and I coded everything with you. I worked and tried to understand the VGG16 before, but no one explained this as easily and clearly as you. Thank you for your teaching. I am undergrad from Indian Institute of Science Education and Research (IISER) from India. I would like to communicate with you. Thank you once again.

bhushandeshpande

Took coursera class in Machine Learning, but getting much more detail and more comfortable with this. Trying to model 200 pictures of 5 objects and not getting a match yet.

inhibited

The easiest way to understand for me so far, it's your vídeos. Ty for your effort.

leo

Thanks a lot, this help me understand the concept without having to go too deep into the theory

arduinouno

Good job! My suggestion is to show how to train the model by using different picture cats, dogs, hedgehog to train the model and then test it on a new picture of dog and see the response of the model

Setish

Thanks for your videos, they really are well done. I always learn alot from them.

cvicracer

Great content. Keep publishing these contents. You explained everything clearly.

HariRavi

Do you have a video(paid for or free) that shows how to train a model for specific categories and train it and then deploy it in python?

עמירצין

many thanks for sharing, you have greate way for delivering the idea. hope to provide the training phase and focus on how to detect and avoid overfitting during training.

ramikawamleh

very good video.. but I dont know hpw to use this model for classification.?

shankar.parmargec

i am working on mask rcnn in my post graduate was wondering if i could impliment Faster RCNN from scratch....i know it uses RESNET which uses skip video was very helpful in understanding out features are made...and one question that how output of last conv pooling layer...which has 7x7 images is mapped to first dense layer....i gues thats just (7x7x512)--->4096

daljeetsinghranawat

Thank you very much please continue with this series

oliwiaroczniak

Great video. How do you tell it that 1 is hedgehog, 2 is cat, and 3 is dog?

marklawley

when will the next video of th series be out it helped quite alot....

srijanairon

Can you also do identification with vgg16

luukschalkwijk

thanks man. love this playlist. hope to see more

redabakkouch

Thanks man! Love this series. Hope there's a video about how to tune a CNN model performance or tackle issue when data is imbalanced.

leamon

thanks for the video, can you teach us how to train a model that works fast on raspberry pi like the model.tflite?

lioramar

Can we write custom conv2d in python and used in vgg16 model

rashmitakarna

Image Classification model VGG16 from scratch | Computer Vision with Keras p.7

Image Classification model VGG16 from scratch | Computer Vision with Keras p.7

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