Computer Vision with Python

What is in that image? Here is your best toolbox to handle images. From pixels to meanings. From a Python Engineer to a Deep Learning Engineer

What You Will Learn:

Understand images and prepare them for your machine

Understand the role of data in any programs and his roles in A.I.

Tame the Deep Learning technology so that you can build your own A.I

Understand Pro and Cons in different Deep Learning architectures

Learn the state-of-the-art paper and be ready to implement them!

Payment Information

Contact

First Name

Last Name

Email Address

Phone Number

Billing Address

Address

City

Country

[[ getRegionLabel(order.billing_address.country) ]]

Region

Zipcode

Postal Code

Coupon Code

[[coupon_message.text]] [[cart_coupon.text]]

Payment Methods

PayPal

PayPal selected.

After submitting, you will be redirected to the PayPal website to fill out your payment information. You will be redirected back to our site once the payment is completed.

Credit Card

Apple Pay

Google Pay

Apple Pay selected.

Another step will appear to securely submit your payment information.

Google Pay selected.

Another step will appear to securely submit your payment information.

Data Analysis with Python Masterclass - Part 1

Add this course now to gain in-demand skills required to advance your career.

Discover the world of data wrangling and data visualization with this course. Learn the art of coding in Jupyter Notebook.

[[6999 | currency]]

Computer Vision Face Recognition Quick Starter In Python

Add this course now to gain in-demand skills required to advance your career.

Quickly Build Python Deep Learning based face detection, recognition, emotion, gender and age Classification Systems.

[[5999 | currency]]

Hands-on Natural Language Processing using Python

Add this course now to gain in-demand skills required to advance your career.

Learn how to analyze Text data using Machine Learning. Work on a Sentiment Analysis Model using NLTK and Scikit-learn and Predict Emotions from an input text.

[[5999 | currency]]

Order Summary

[[invoiceItem.description]]

[[subscriptionsByProductId[invoiceItem.product_id].plan_description]]

REMOVE

[[invoiceItem.quantity]] x [[invoiceItem.unit_price | currency]]

Subtotal:

[[checkoutContext.order.invoice.subtotal | currency]]

Tax:

[[checkoutContext.order.invoice.tax | currency]]

Shipping:

[[checkoutContext.order.invoice.shipping | currency]]

Discounts:

-[[checkoutContext.order.invoice.discount | currency]]

Total:

[[checkoutContext.order.invoice.total | currency]]