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 Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence (2020)

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MensajeTema: Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence (2020)   Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence  (2020) EmptyJue Mar 05, 2020 7:49 am

Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence  (2020) E25aab1735c7c10d7435c58c706623d0

Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence (2020)
WEBRip | English | MP4 | 1280 x 720 | AVC ~525 Kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~20.5 hours | 6.96 GB
Genre: Video Tutorial / Development, Data Science, TensorFlow
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

What you'll learn

Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
Predict Stock Returns
Time Series Forecasting
Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot
GANs (Generative Adversarial Networks)
Recommender Systems
Image Recognition
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Use Tensorflow Serving to serve your model using a RESTful API
Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices
Use Tensorflow's Distribution Strategies to parallelize learning
Low-level Tensorflow, gradient tape, and how to build your own custom models
Natural Language Processing (NLP) with Deep Learning
Demonstrate Moore's Law using Code
Transfer Learning to create state-of-the-art image classifiers

What you'll learn

Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
Predict Stock Returns
Time Series Forecasting
Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot
GANs (Generative Adversarial Networks)
Recommender Systems
Image Recognition
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Use Tensorflow Serving to serve your model using a RESTful API
Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices
Use Tensorflow's Distribution Strategies to parallelize learning
Low-level Tensorflow, gradient tape, and how to build your own custom models
Natural Language Processing (NLP) with Deep Learning
Demonstrate Moore's Law using Code
Transfer Learning to create state-of-the-art image classifiers

General
Complete name : 2. Code Preparation (NLP).mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 62.9 MiB
Duration : 13 min 17 s
Overall bit rate : 662 kb/s
Writing application : Lavf58.12.100

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L3.1
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 13 min 17 s
Bit rate : 525 kb/s
Nominal bit rate : 3 000 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.019
Stream size : 49.9 MiB (79%)
Writing library : x264 core 148
Encoding settings : cabac=1 / ref=3 / deblock=1👎-1 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.15 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-3 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00

Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 13 min 17 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 12.2 MiB (19%)
Default : Yes
Alternate group : 1

Screenshots

Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence  (2020) C3fd86ae777caf3faa6659de1f7a6f71
Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence  (2020) 136ebf9b0147c9166805f7d4d7c69075
Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence  (2020) 1bf16d3639f1cdfdf246855b864d0610

Download link:
Citación :
rapidgator_net:
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nitroflare_com:
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https://nitroflare.com/view/14FFED641F29C98/ne50l.Udemy..Tensorflow.2.0.Deep.Learning.and.Artificial.Intelligence.2020.part10.rar

uploadgig_com:
http://uploadgig.com/file/download/2ec955de08adE52e/ne50l.Udemy..Tensorflow.2.0.Deep.Learning.and.Artificial.Intelligence.2020.part01.rar
http://uploadgig.com/file/download/b2803a8FbA701147/ne50l.Udemy..Tensorflow.2.0.Deep.Learning.and.Artificial.Intelligence.2020.part02.rar
http://uploadgig.com/file/download/532a7c6EA6315efa/ne50l.Udemy..Tensorflow.2.0.Deep.Learning.and.Artificial.Intelligence.2020.part03.rar
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http://uploadgig.com/file/download/ac5a068a3bd1258e/ne50l.Udemy..Tensorflow.2.0.Deep.Learning.and.Artificial.Intelligence.2020.part09.rar
http://uploadgig.com/file/download/64Efb3ca4bb6F71f/ne50l.Udemy..Tensorflow.2.0.Deep.Learning.and.Artificial.Intelligence.2020.part10.rar

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