MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 739 MB | Duration: 2h 43m
What you'll learn

Emad Ghorbaninia | Duration: 0h 34m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 248 MB | Language: English + SUB
This course will walk you through the steps of localizing your app. Learn how to add a new language and how to use Xcode Localization Catalog to make your life easier while doing so. Also learn how to localize a Swift Package.
Who is this for?

Video: MPEG4 Video (H264) 1920x1026 30fps 178kbps | Audio: aac lc, 44100 Hz, stereo, 64 kb/s
Genre: eLearning | Duration: 2hr+ | Language: English | File size: 287 MB
Homepage

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 4.00 GB | Duration: 3h 27m
What you'll learn

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.58 GB | Duration: 23h 32m
Learn Natural Language Processing using Spacy, NLTK, PyTorch, Text Pre-Processing, Embeddings, Word2Vec & Deep Learning
What you'll learn

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 10 lectures (4h 22m) | Size: 977.7 MB
German Language: Learn AND REMEMBER Vocabulary using your imagination

Created by Coding Guru | Published 6/2021
Duration: 1h16m | 2 sections | 25 lectures | Video: 1280x720, 44 KHz | 400 MB
Genre: eLearning | Language: English + Sub

Duration: 24m | Video: .MP4 1280x720, 25fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 125 MB
Genre: eLearning | Language: English
The Julia Programming Langauge is a sweetheart of the data science community. Everyone who has worked with it thinks it's going to be a big part of the future of data science and machine learning. The elegance of Julia when it comes to translating thoughts and models to code is brilliant.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English | Duration: 1h 47m | Size: 258.2 MB
There is a growing demand to harness the power of natural language processing (NLP) and deep learning models to be able to make sense of textual data and reduce the emotional intervention of humans in order to make better decisions. In this course, instructor Harshit Tyagi provides a complete guide to understanding NLP using recurrent neural networks (RNNs). Harshit begins by introducing you to word encodings and using TensorFlow for tokenization. He describes the important concept of word embeddings and shows you how to use TensorFlow to classify movie reviews and project vectors. Harshit discusses RNNs and long short-term memory (LSTM), then shows you how to improve the movie review classifier from earlier in the course. He concludes with a discussion of how you can train RNNs to predict the next word in a sentence, which in turn allows you to generate some original text.

Packt - Natural Language Processing Fundamentals-XQZT
English | Size: 13.80 GB
Category: NLP