Packt – Google Cloud Machine Learning with TensorFlow

Packt – Google Cloud Machine Learning with TensorFlow-XQZT
English | Size: 678.94 MB
Category: Tutorial

TensorFlow has become the first choice for deep learning tasks because of the way it facilitates building powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.
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Packt – – Master Deep Learning with TensorFlow 2.0 in Python

Packt – – Master Deep Learning with TensorFlow 2.0 in Python
English | Size: 2.30 GB
Category: Python


Build deep learning algorithms with TensorFlow 2.0, dive into neural networks, and apply your skills in a business case.
Key Features
Build deep learning algorithms from scratch in Python using NumPy and TensorFlow
Set yourself apart from the competition with hands-on deep- and machine-learning experience
Grasp the math behind deep learning algorithms [Read more…]

Pluralsight – Image Understanding with TensorFlow on GCP

Pluralsight – Image Understanding with TensorFlow on GCP-BOOKWARE-KNiSO
English | Size: 1.28 GB
Category: Tutorial


Release Notes: In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We’ll improve the model’s accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data We will also look at practical issues that arise, for example, when you don t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we ll work on together [Read more…]

PluralSight – End to End Machine Learning with TensorFlow on GCP

PluralSight End to End Machine Learning with TensorFlow on GCP-BOOKWARE-KNiSO
English | Size: 666.81 MB
Category: Tutorial


One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it [Read more…]

Packt Hands-On Unsupervised Learning with TensorFlow 2.0

Packt Hands-On Unsupervised Learning with TensorFlow 2.0 PROPER-XQZT
English | Size: 367.38 MB
Category: Tutorial


Learn unsupervised learning in Python with hands-on practical applications for each learning model

Nowadays, machine learning is becoming increasingly important to businesses. It is used to solve various business problems using supervised and unsupervised algorithms. In unsupervised learning, Artificial Intelligence systems try to categorize unlabeled and unsorted data based on the similarities and differences that exist among data. In this case, the capabilities of unsupervised learning methods to generate a model based on data make it possible to deal with complex and more difficult problems in comparison with the capabilities of supervised learning. In this course, we examine different unsupervised learning methods and solve practical problems using the TensorFlow platform. Solving examples of real-world problems using TensorFlow is more inspiring and compelling and will enhance your practical skills. [Read more…]

Pluralsight – Serverless Machine Learning with Tensorflow on Google Cloud Platform

Pluralsight – Serverless Machine Learning with Tensorflow on Google Cloud Platform-XQZT
English | Size: 819.47 MB
Category: Tutorial


This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. On GCP, you build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine. [Read more…]

Packt – Implementing Deep Learning Algorithms with TensorFlow 2.0

Packt – Implementing Deep Learning Algorithms with TensorFlow 2 0
English | Size: 785.19 MB
Category: E-learning


Learn
Understand what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve
Study the various Deep Learning model architectures and work with them
Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification; predicting stock market data for Google; classifying Reuters news topics, and classifying flower species
Apply your newly-acquired skills to a wide array of practical and real-world scenarios [Read more…]

Packt Interactive Chatbots with TensorFlow

Packt Interactive Chatbots with TensorFlow
English | Size: 345.73 MB
Category: Tutorial

Have you ever waited for a long time to get a solution from a customer care executive? Also, wouldn’t it be nice to have a personal assistant handy to help you with queries and give suggestions? Chatbots provides solutions to these issues.

This course will show you how to create chatbots based on two models. You will design a user-friendly chatbot which responds using perfect grammar and informative answers from a predefined database. You will also learn how to build chatbots that form the answers themselves without having to look into a database. You will also understand the capabilities, and overcome the limitations, of each chatbot. This helps to reduce the need for human effort and costs. Using a chatbot will help scale your business and improve customer relations. [Read more…]

Packt Publishing – Tensorflow Solutions for Text

Packt Publishing – Tensorflow Solutions for Text
English | Size: 416.76 MB
Category: CBTs

Use deep learning to make predictions on email
This course deals with the core topics in a highly practical manner with focus on code.
This volume introduces working with text, with a focus on the most plentiful source of text out there: email. Working with email text from your own Gmail account, you will build up a label predictor, similar in effect to the technology Google uses to power the Social and Promotions tabs. With this technique, you will be able to build your own email classification and automated workflow hooks. [Read more…]

Packt Publishing – Learning Neural Networks with Tensorflow

Packt Publishing – Learning Neural Networks with Tensorflow
English | Size: 725.19 MB
Category: CBTs

The video is packed with step-by-step instructions, working examples, and helpful advice about building your Neural Network with Tensorflow. You’ll learn to build your own network. This practical course is divided into clear byte-size chunks so you can learn at your own pace and focus on the areas of most interest to you.

Neural Networks are used all around us: they index photos into categories, translate text, suggest replies for emails, and beat the best games. Many people are eager to apply this knowledge to their own data, but many fail to achieve the results they expect. [Read more…]