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Description
fold uppababy cruz UPPAbaby CRUZ V2 + Bassinet BundleCRUZ V2. From Birth. Parenting is full of adjustments like learning to function on little sleep or never leaving the house again without an arsenal of supplies. Fortunately for parents there's been no compromising with the CRUZ V2. Its streamlined design gives you more without weighing you down. So stroll down bumpy city streets, maneuver around crowded malls, and load your basket with whatever you need. Relax, the world is still your oyster. This
CRUZ V2. From Birth.
Parenting is full of adjustments like learning to function on little sleep or never leaving the house again without an arsenal of supplies. Fortunately for parents there's been no compromising with the CRUZ V2. Its streamlined design gives you more without weighing you down. So stroll down bumpy city streets, maneuver around crowded malls, and load your basket with whatever you need. Relax, the world is still your oyster.
This bundle includes the UPPAbaby Bassinet V2 which transforms your Cruz V2 into a pram ideal for your newborn. Whether for naps on the go or overnight sleeping, the Bassinet allows your baby to lie completely flat.
Updates
- New colors
- More Comfort for Growing Toddlers: A higher back, longer leg rest and deeper footrest on the toddler seat provide added comfort for growing children.
- Optimal Suspension Performance: Patent pending, dual-action rear suspension softens the ride no matter a child's weight.
- Bigger Wheels, Better Ride: Large front and rear tires create a smoother ride over tough terrain.
- Extendable Canopy: Extra fabric can be unzipped to extend the canopy for more sun coverage. Extension has a mesh mesh peek-a-boo window to keep an eye on your little one and for ventilation. There's a second mesh panel toward the front of the canopy that can be opened for even more airflow.
- Downsized Fold: Cruz V2 folds smaller than its predecessor, making it even easier to carry and tuck into tight spaces or trunks.
Cruz V2 Features
- From birth with Bassinet: Transform your CRUZ into a pram that is ideal for your newborn. Whether for naps on the go or overnight sleeping, the included Bassinet allows your baby to lie completely flat in a healthy resting environment.
- Compact stroller frame: The slim design allows you to fit through tight doorways, down narrow aisles, along crowded city sidewalks and rocky garden paths with ease.
- Reversible toddler seat: Your toddler can ride forwards, backwards, completely upright, fully reclined and anywhere in between.
- One-handed multi-position recline: The multi-position recline allows your child to lie comfortably for naps or sit upright to take in the sights, offering the flexibility your busy toddler needs.
- 5 point safety harness: With a no-rethread harness for faster and easier height adjustments.
- Extendable, SPF 50+ zip out canopy: The zip-out canopy on the Toddler Seat extends for additional sun protection, and mesh panels make it east to peek in while adding airflow.
- Adjustable canopy: Easy-slide canopy is height-adjustable which locks into place to accommodate growing children.
- Telescoping handlebar: The adjustable handlebar makes it comfortable for parents of varying heights to stroll with baby.
- Leather Handlebar: Genuine leather handlebar and bumper bar covers. It's REACH certified with no chemicals used in the tanning process. The handlebars are hand stitched onto stroller and will get darker and softer over time. It's also replaceable if it gets ruined.
- Extra-large easy-access basket: The large opening means it’s easier to reach your diaper bag, toys, and whatever else you pick up along the way. There is extra storage pocket for accessories like a rain cover or car seat adapters. Approved up to 25 lbs.
- One-step fold. Stands when folded: The CRUZ one-step fold is easy and intuitive. The stroller stands on its own when folded and can be folded with or without the Toddler Seat attached.
- Included Bumper Bar: One-hand release, pivoting bumper bar for easy loading– great for little ones to hold onto or to attach toys and lovies.
- Shock-absorbing all-wheel suspension: Independent shocks ensure your child has a smooth and comfortable ride whether traveling down winding paths or over bumpy pavement.
- AirGo patent-pending tires: Large, 10” rear wheels mimic the cushioned ride of an air-filled tire with the lightweight benefit of foam. Provides the ultimate in shock-absorbing performance with tires that never go flat.
- All-weather protection: Included rain and bug shields protect your child from whatever Mother Nature throws your way.
- Extra support for babies: Designed with infants in mind, the Infant SnugSeat provides extra comfort and stability for your baby’s neck and back when strolling (sold separately).
- Performance Travel System: Compatible with MESA Infant Car Seat — direct attachment, no adapters necessary. The CRUZ is also compatible with select Chicco, Maxi-Cosi, Nuna, Cybex, Clek, Peg Pereggo and Graco infant car seats with the required adapters.
- Expandable: Allows you to transport another child without growing wider with the PiggyBack Board.
Bassinet Features
- Suitable from birth up to 20 lbs and 25″ long or until infant can push up on hands and knees, whichever comes first
- One-handed release button from stroller
- Overnight sleep solution with large sleeping area
- Features a long mattress, creating a more comfortable environment for growing baby
- Extendable, SPF 50+ drop-down sunshade
- Canopy unzips for added air flow
- Removable, breathable mattress pad
- Vented base and mattress for breathability
- Machine washable mattress cover and zip-out liner
- Bug Shield included
- Fits onto the Bassinet Stand (sold separately)
Specifications
- Suitable from birth to 50 lbs.
- Stroller Unfolded: 37″ L x 22.3″ W x 40.5″ H
- Stroller Folded with seat attached: 17″ L x 22.3″ W x 36″ H
- Stroller Folded without seat: 13″ L x 22.3″ W x 36″ H
- Stroller Frame + Seat: 21.5 lbs
- Wheels: 7" front and 10" rear
- Bassinet with canopy up: 27.5” L x 13”W x 25”H
- Bassinet is 10” deep
- Bassinet Weight: 8.4 lbs
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.4 ★★★★★
Based on 14 reviews
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Product Reviews
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents.
The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!!
The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!!
I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge.
Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents.
Personally I was disappointed by lack of any example on time series.
Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book.
For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch.
For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min).
From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures.
I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications.
Several textbook editions later, what is different about this new edition?
First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills.
Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like.
Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026