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Description
TensorFlow for Deep Learning: From Linear Regression to Reinforcement LearningLearn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine learning fundamentals showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines."margin top: 4px; margin
Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines."margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);"TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. Its ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms. Learn TensorFlow fundamentals, including how to perform basic computation Build simple learning systems to understand their mathematical foundations Dive into fully connected deep networks used in thousands of applications Turn prototypes into high-quality models with hyperparameter optimization Process images with convolutional neural networks Handle natural language datasets with recurrent neural networks Use reinforcement learning to solve games such as tic-tac-toe Train deep networks with hardware including GPUs and tensor processing unitsShipping Notes
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4.1 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 4
Not a long shot
Style: Sport, Size: 12in
This item is much smaller than I thought it would be .
The ball is full sized . But the thrower is very small.
Works okay. But does not throw the ball very far . It’s okay for me . My dogs are small. My yard is too .
But , this is not going to throw balls really far . Like the long ones do
Thsnks
Eddie
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Reviewed in the United States on March 26, 2026
★★★★★ 5
Perfect addition
Style: Sport, Size: 12in
This is item that I needed but didnt know it. Its been great for saving my sholder anad my dog loved the longer chase to get the ball. Easy to use and lots of fun
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Reviewed in the United States on May 18, 2026
★★★★★ 5
I would buy this twice!
Style: Sport, Size: 12in
This Chuckit! Dog Ball Launcher 12M Sport is the perfect product for the dog park! It makes games of fetch so much easier and more fun — the long handle gives great reach, so I can launch balls super far without even bending over, and our dog goes absolutely wild chasing them.
It’s comfortable to hold, works smoothly with 2.5" dog balls, and really saves your arm and back if you’re doing a lot of throwing. The design is sturdy and reliable, so we can play for longer without worrying about it snapping or wearing out.
If you spend time at the dog park or love playing fetch, this launcher turns a regular game into something even better — our pup gets twice the exercise and we get to enjoy every minute of playtime!
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Reviewed in the United States on March 1, 2026
★★★★★ 5
Caution can cause addiction
Style: Sport, Size: 12in
My dog has become addicted to tennis balls because of this! She sees the blue handle and she immediately loses her mind! I love it because I don't have to bend down as far to pick up the ball, which is amazing after 2 back surgeries.
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Reviewed in the United States on February 25, 2026
★★★★★ 3
12 " too short, no direction.
Style: Sport, Size: 12in
I got the twelve inch handle. It is too short and does not flex enough to release ball in right direction. Its almost impossible to aim and doesn't sent the ball far enough.
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Reviewed in the United States on April 22, 2026