- Почетна страница /
- Книги /
- Computer & Technology Books /
- Neural Networks Books /
- The Practical Guides On Deep Learning Using SCIKIT-LEAR...
0 ratings
Бр. на производ:
273922289
The Practical Guides On Deep Learning Using SCIKIT-LEARN, KERAS, and TENSORFLOW with Python GUI, (Paperback)
Бр. на производ:
273922289
MKD 3047
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from САД
0 ratings
Напишете рецензија
На залиха
Увезено од продавницата USA
QTY:
Остана само 1 ставка на залиха.
Нарачајте сега и ќе се испорача околу Sunday, Ноември 01
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of САД store (110-120). Recommended power converters Купи сега.
Детали за производот
- In this book, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to implement deep learning on recognizing traffic signs using GTSRB dataset, detecting brain tumor using Brain Image MRI dataset, classifying gender, and recognizing facial expression using FER2013 dataset In Chapter 1, you will learn to create GUI applications to display image histogram. It is a graphical representation that displays the distribution of pixel intensities in an image. It provides information about the frequency of occurrence of each intensity level in the image. The histogram allows us to understand the overall brightness or contrast of the image and can reveal important characteristics such as dynamic range, exposure, and the presence of certain image features. In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, Pandas, NumPy and other libraries to perform prediction on handwritten digits using MNIST dataset. The MNIST dataset is a widely used dataset in machine learning and computer vision, particularly for image classification tasks. It consists of a collection of handwritten digits from zero to nine, where each digit is represented as a 28x28 grayscale image. The dataset was created by collecting handwriting samples from various individuals and then preprocessing them to standardize the format. Each image in the dataset represents a single digit and is labeled with the corresponding digit it represents. The labels range from 0 to 9, indicating the true value of the handwritten digit. In Chapter 3, you will learn how to perform recognizing traffic signs using GTSRB dataset from Kaggle. There are several different types of traffic signs like speed limits, no entry, traffic signals, turn left or right, children crossing, no passing of heavy vehicles, etc. Traffic signs classification is the process of identifying which class a traffic sign belongs to. In this Python project, you will build a deep neural network model that can classify traffic signs in image into different categories. With this model, you will be able to read and understand traffic signs which are a very important task for all autonomous vehicles. You will build a GUI application for this purpose. In Chapter 4, you will learn how to perform detecting brain tumor using Brain Image MRI dataset. Following are the steps taken in this chapter: Dataset Exploration: Explore the Brain Image MRI dataset from Kaggle. Describe the structure of the dataset, the different classes (tumor vs. non-tumor), and any preprocessing steps required; Data Preprocessing: Preprocess the dataset to prepare it for model training. This may include tasks such as resizing images, normalizing pixel values, splitting data into training and testing sets, and creating labels; Model Building: Use TensorFlow and Keras to build a deep learning model for brain tumor detection. Choose an appropriate architecture, such as a convolutional neural network (CNN), and configure the model layers; Model Training: Train the brain tumor detection model using the preprocessed dataset. Specify the loss function, optimizer, and evaluation metrics. Monitor the training process and visualize the training/validation accuracy and loss over epochs; Model Evaluation: Evaluate the trained model on the testing dataset. Calculate metrics such as accuracy, precision, recall, and F1 score to assess the model's performance; and so on. In Chapter 5, you will learn how to perform classifying gender using dataset provided by Kaggle using MobileNetV2 and CNN models. The details are in the book. In Chapter 6, you will learn how to perform recognizing facial expression using FER2013 dataset using CNN model. The FER2013 dataset contains facial images categorized into seven different emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral. The detail
| Book format | Paperback |
| Edition | 1 |
| Pages | 386 |
| Language | English |
| Brand | Rismon Hasiholan Sianipar |
| Pub date | 2021-04-11 |
| Author | Independently Published |
| Subgenre | Data Science |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Dimensions | 8.50 x 0.80 x 11.00 Inches (21.6 x 2 x 27.9 cm) |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
ОПИС НА ПРОИЗВОД
The Practical Guides On Deep Learning Using SCIKIT-LEARN, KERAS, and TENSORFLOW with Python GUI, (Paperback)
Дали имате некое барање? Разговарајте со нас
Прашања и одговори на клиентите
-
Прашање:
Како да купувате The Practical Guides On Deep Learning Using онлајн од Ubuy?
Одговор: Лесно е да се купува The Practical Guides On Deep Learning Using онлајн од Ubuy.. Треба само да го пребарувате производот, да го изберете вашиот начин на испорака додека се одјавувате и да го доставите до вашата локација. -
Прашање:
Дали The Practical Guides On Deep Learning Using е достапен за онлајн купување во North Macedonia?
Одговор: Да, во Ubuy North Macedonia овој производ е достапен за да купувате по разумна цена.. The Practical Guides On Deep Learning Using не е достапен локално, но можете да ни верувате во нашите услуги за брза испорака. -
Прашање:
Колку време е потребно за да се добие производ по поставувањето на нарачката?
Одговор: Времето на испорака на нарачаниот производ варира во зависност од тоа што сте го нарачале и начинот на испорака што сте го избрале.. Проценетото време за испорака се споменува при процесот на наплата, затоа бидете безгрижни додека купувате.
Rismon Hasiholan Sianipar Neural Networks Books Editorial Review
Не се пронајдени уреднички критики
Customer Reviews & Ratings
1 оцени од купувачи
-
5 ѕвездичка
0%
-
4 ѕвездичка
100%
-
3 ѕвездичка
0%
-
2 ѕвездичка
0%
-
1 ѕвездичка
0%
Рецензирајте го овој производ
Споделете го вашето мислење со другите купувачи
Platform Trust & Buyer Confidence
JK
Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Verified buyer
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
H
Hazel
Verified buyer
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
AC
Adele
Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
WHY SHOP WITH US
Безбедна страница за плаќање
Global Delivery
Easy Returns
Genuine Products
Product Price History
Важни информации
- Ограничувања: За меѓународно испорачаните производи, имајте предвид дека секоја гаранција од производителот не е важечка; опциите за услуги од производителот може да се недостапни; прирачниците за производите, упатствата и безбедносните предупредувања може да се на јазик различен од јазикот на одредишната држава; производите (и придружните материјали) може да не се дизајнирани според стандардите, спецификациите и правилата за означување на одредишната држава и производите може да не соодветствуваат со напонот и другите стандарди за електрика на одредишната држава (со што се наложува потребата од користење адаптер или претварач, доколку треба). Примателот е одговорен за проверка дали производот може законски да се увезе во одредишната држава. При нарачување од Ubuy или неговите партнери, примателот е евидентиран увозник и мора да ги почитува сите закони и регулативи на одредишната држава.
- Некои од производите претставени на Ubuy не се за продажба, бидејќи Ubuy е глобален пребарувач. Производите подлежат на прописи за извоз/трговија.
MKD 3047
Нарачајте сега и ќе се испорача околу Sunday, Ноември 01
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Остана само 1 ставка на залиха.
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.