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Description
Skystars F7HD Stack F722HD Pro 4 Flight Controller & KM65A F4 128KHz AM32 65A 4in1 ESC - 30 x 30mmSkystars F7+KM65 is a powerful stack for 5" freestyle and racing drones or 7 8" long range drones. The flight controller with modern F7processor has 16MB memory for blackbox and 5V 3A and 10V 3A BEC. The flight controller can be conveniently used on a drone with both digital and analog video transmission. The pads for connecting the LEDs are in the corners. The integrated barometer for altitude measurement also comes in handy. The KM65 ESC supports 3
Skystars F7+KM65 is a powerful stack for 5" freestyle and racing drones or 7-8" long-range drones. The flight controller with modern F7processor has 16MB memory for blackbox and 5V/3A and 10V/3A BEC. The flight controller can be conveniently used on a drone with both digital and analog video transmission. The pads for connecting the LEDs are in the corners. The integrated barometer for altitude measurement also comes in handy.
The KM65 ESC supports 3-6S battery power and current up to 65A, which makes it playfully handle motors of size 2207-2808. The ESC has an aluminum heat sink on top to help dissipate heat better while protecting sensitive components from mechanical damage. The ESC uses a powerful F4 32-bit processor and AM32 firmware. Thus it supports telemetry, bidirectional DShot and PWM frequency up to 128KHz. The ESC is protected against voltage spikes by a TVS diode.
Check out all our Stacks and the rest of our Skystars Products!
Features:
- 1. Solder pads are the largest in size compared to other FC in market.
- 2. Proper solder pad spacing to avoid solder bridge and facilitate easy soldering.
- 3. ESC connector on top-side rather than bottom which makes it easy for repair.
- 4. TVS Diode for Reverse Polarity Protection and Voltage Spike Suppression.
- 5. Powerful 3A BEC to supply all your electronics.
- 6. Pads arrangement are executed in such a way that when you twist the wires of the camera VTX and RX you don't get any wire overlapping this gives you a uniform twist and clean look.
- 7. Support DJI O3 connector on the top side.
- 8. Support VTX ON/OFF Pit Switch.
- 9. Gyroscope independent power supply, No power lines near MPU6000 Gyro to avoid any EMI interference.
- 10. Two stages of Quality check to reduce any faulty electronic.
- 11. Comes ready with I2C support and INAV.
FC Specifications:
- MCU: STM32F722RET6 216MHz
- Gyroscope: ICM42688P
- Baro:Bmp280
- OSD: Betaflight SPI OSD DJI HD OSD(UART6)
- Black box: 16MB
- 6x Uarts: UART 1/2/3/4/5/6
- 4x PWM outputs
- 1x I2C
- 3x LEDs for FC STATUS (Blue, Green) and 3.3V indicator(Red)
- USB Type-C(USB2.0)
- 1x JST-SH1.0_8pin connector (Gnd/Vbat/S1/S2/S3/S4/Rx3/Curr)
- 1x JST-SH1.0_6pin connector (10V/Gnd/TX6/RX6/Gnd/Sbus)
- VTX 10V/Vbat filtered power ON/OFF Pit switch
- DJI FPV OSD is supported by any spare UART
- LED: 4 LED independent pads, support WS2812 programming lamp output.
- Receiver: Support Sbus, crsf, ibus, SBUS, XBUS, support 3.3v Spektrum satellite receiver, The default receiver input is UART1(You can solder ELRS RX on UART1), F7 has a built-in inverter, which can actually be installed in any spare UART.
Power:
- Input voltage: 3-6S
- BEC: 5V/10V 3A dual-channel BEC supports stable power supply on the sky side of DJI O3
- LDO 3.3V: Max.250mA
- Flight control onboard voltage sensor.
FC Firmware:
- BetaFlight firmware: SKYSTARSF722Pro
- INAV firmware:SKYSTARSF722HD
Mounting:
- Installation size: 30.5mm × 30.5mm The installation hole is M4 and supports shock column installation
- External size 39mm × 39mm
- Flight control weight: 6.9g
AM32-65A 4IN1 3-6S ESC BLheli32 128K DShot1200 4-in-1 ESC Specifications:
- Support 128K Dshot1200, Dshot600, Dshot300, Dshot150, Oneshot125, Multishot, PWM control signal
- Excellent over-current capability.
- Extreme stably support 6S LiPo battery with TVS.
- Excellent heat dissipation performance
- Better control performance F4 core MCU support 128K.
- Input voltage: 3-6S LiPo
- Con.Current: 65A
- Peak Current: 90A≥ 10S
- Firmware: AM_32
- Support : Dshot 600/1200
- Mounting hole : 30.5mm/M3
- BEC: No
- Product size: 45.6*45*7.6mm
- Weight: 19g
Package Includes:
- 1x F7HD Pro4 FC
- 1x KM65 128K AM32 4IN1 ESC
- 8x Silicon grommets M4 to M3
- 2x JST-SH1.0_8pin cable, 4cm
- 1x JST-GH-6P cable for DJI port, 10cm
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]
- Please click here for more details>>> Return & Exchange Policy
4.2 ★★★★★
Based on 19 reviews
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Product Reviews
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning.
There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s.
The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read.
There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning.
The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique.
Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry.
The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff!
If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018